HISTORY — The Story of the Process Tracing Database

História — A trajetória do banco de dados de process tracing

What this file is / O que é este arquivo. A narrative chronology of how this database was conceived, broken, rebuilt, and broken again across four LLM-assisted conversations between 2 May and 26 May 2026. Where NEWS.md is the structured decision log (what changed, when, in which file), this file is the story — the dead ends, the methodological reversals, the moments when an LLM produced a beautiful design that the researcher then had to dismantle because its premises were wrong. It is written as a research memo, not as documentation. The audience is the future researcher, a future collaborator, and any reader who wants to know why the design ended up where it did.

Cronologia narrativa de como este banco foi concebido, quebrado, refeito e quebrado de novo ao longo de quatro conversas assistidas por LLM entre 2 e 26 de maio de 2026. Onde NEWS.md é o log estruturado de decisões (o que mudou, quando, em qual arquivo), este aqui é a história — os becos sem saída, as reversões metodológicas, os momentos em que uma LLM produziu um design bonito que o pesquisador depois teve que desmontar porque as premissas estavam erradas.

1. Did it start on May 3? Or May 5? — On the question of the starting date

Confirmed: the work began on 2 May 2026, not 3 May and not 5 May.

The confusion is understandable, because three different dates are visible on the artifacts:

  • The earliest .xlsx file on disk has an mtime of 5 May 2026, 09:33 (xlsx_templates/banco_pt_process_tracing_v2.xlsx).
  • The Claude conversation 2026-05-03_claude_bayesian-tests_v1-through-v4.md (originally exported as Claude-Banco de dados para process tracing com testes bayesianos.md) reports Created: 5/3/2026 11:16:19 (US format: 3 May 2026, 11:16 AM).
  • The Perplexity export 2026-05-02_perplexity_pt-literature-and-v1-v2-schema.md (originally exported as perplexity_search- v1 and v2 banco_pt_process_tracing ... .md) reports Created: 03/05/2026, 02:09:29 (DD/MM/YYYY format: 3 May).

The genuinely earliest event lives one layer deeper. Inside that Perplexity export, the timestamp on question Q1 (“Quais os principais textos correntes sobre process tracing?”) is 02/05/2026, 23:09:53 — DD/MM/YYYY = 2 May 2026, 23:09. The conversation was created on 3 May because Perplexity records creation time at the moment of the first non-trivial exchange, but the first actual question was the night before. So the intellectual work begins on 2 May 2026 in the late evening, with a literature search about Derek Beach.

The .xlsx files dated 5 May are artifacts of the design conversations from 2–5 May — the moment when Perplexity exported the spreadsheet versions to the user’s machine, not the moment when the design was conceived.

2. Timeline at a glance / Cronologia em síntese

Date (local) Event Provider / Model Artifact
2026-05-02 23:09 Q1 of the first Perplexity session: literature search on Beach & Pedersen Perplexity COPILOT / claude46sonnetthinking conversations/2026-05-02_perplexity_pt-literature-and-v1-v2-schema.md
2026-05-02 23:13–23:32 Q2–Q5: how to build a PT database; software (QualCoder); QCA fit Perplexity COPILOT same file
2026-05-03 09:04 Q6: first database draft requested — 16-field flat schema produced as the v1 sketch Perplexity COPILOT same file
2026-05-03 11:16 User opens a new conversation in claude.ai, uploads the Perplexity Q6 output (Process Tracing Database.md) and asks for improvements Claude (claude.ai) conversations/2026-05-03_claude_bayesian-tests_v1-through-v4.md
2026-05-03 14:47 Q7: user pastes Claude’s suggestions back into Perplexity to harmonize Perplexity COPILOT v1/v2 Perplexity export
2026-05-03 19:13 Q8: Perplexity produces the v1 .xlsx plus an R script for xlsx → SQLite Perplexity COPILOT v1/v2 Perplexity export
2026-05-03 19:44–19:51 Q9–Q10: workflow refinements, instruction tab tightening Perplexity COPILOT same
2026-05-05 09:33 banco_pt_process_tracing_v2.xlsx re-exported to disk (Perplexity output) xlsx_templates/banco_pt_process_tracing_v2.xlsx
2026-05-05 09:34 banco_pt_process_tracing.xlsx (v1) saved to disk (Perplexity output) xlsx_templates/banco_pt_process_tracing.xlsx
2026-05-05 12:02 Q11 of the v1/v2 Perplexity export — user submits the v2 .xlsx back to Perplexity asking for structural changes. This is the prompt that triggers the v3 pivot. Perplexity COPILOT v1/v2 Perplexity export
2026-05-05 12:47 banco_pt_process_tracing_v3.xlsx saved (Perplexity output) xlsx_templates/banco_pt_process_tracing_v3.xlsx
2026-05-05 13:18 New Perplexity conversation begun to refine v3 Perplexity COPILOT / claude46sonnetthinking conversations/2026-05-05_perplexity_v3-structural-pivot.md
2026-05-05 13:57 banco_pt_process_tracing_v3_1.xlsx saved (Perplexity output) xlsx_templates/banco_pt_process_tracing_v3_1.xlsx
2026-05-15 09:03 F&C-related reference downloaded: Fairfield & Garay 2017 — references/Fairfield-Garay-2017_Redistribution-Under-the-Right.pdf
2026-05-20 16:13 Back inside the Claude conversation, user asks for a README documenting the database; Claude produces a 367-line README focused on theory-testing PT Claude same Claude conversation
2026-05-23 12:58 First major methodological turning point. User reports: “I am overwhelmed by the spreadsheet, and I think it is organized in a way too focused on theory-testing PT — I am actually doing explaining-outcome.” Claude redesigns the schema around episodes, competing accounts, and diagnostic vs. confirmatory evidence. Claude same Claude conversation
2026-05-23 13:40–13:47 Claude produces a new banco_process_tracing.xlsx with p_num_h1, p_num_h2, razao_verossimilhanca, peso_db, peso_categoria — full Fairfield & Charman decibel scoring. This becomes the v4 design. Claude same Claude conversation
2026-05-23 17:31 Second turning point. User challenges: “Why do I have to commit to Git before collecting evidence? Does this matter for abductive PT? What do Fairfield & Charman say?” Claude retracts the pre-registration argument: “I exaggerated the argument when I applied it to your design.” Claude same Claude conversation
2026-05-24 14:01 User asks for a new README reflecting the corrections. Claude produces a 185-line README_v2.md (later preserved as drafts/Genereted README_v2 ... .qmd). Claude same Claude conversation
2026-05-24 14:25 v4_banco_process_tracing_baesiano_abdutivo.xlsx saved to disk — this is the version Claude produced on May 23 with explicit decibel weighting (Claude output) xlsx_templates/v4_banco_process_tracing_baesiano_abdutivo.xlsx
2026-05-24 20:08 A second Claude conversation begins (“V5”), with the full Fairfield & Charman 2022 PDF as the upload Claude conversations/2026-05-24_claude_v5-fairfield-charman-2022-deepread.md
2026-05-24 20:47 F&C 2026 Appendix downloaded — references/Fairfield-Charman-2026_Appendix.pdf
2026-05-26 10:45 Last substantive update inside the V5 conversation Claude V5 conversation
2026-05-26 16:18 v7_banco_process_tracing_baesiano_abdutivo_manual.xlsx saved — the current working database. (v5 and v6 numbers were skipped; design drafts inside the V5 conversation never became standalone .xlsx files in xlsx_templates/.) — repo root
2026-05-26 16:42 First README archived to md_documentation_previous_versions/README-v0.md — this repo
2026-05-26 17:08 Claude bayesian-tests conversation exported to .md — preserved
2026-05-26 19:30+ New folder llm_conversations_database-development/ materialized and populated — this folder
2026-05-26 20:10+ Subfolders conversations/, references/, xlsx_templates/ (typo fixed), drafts/ created; HISTORY.md and folder README written — this commit

(Discussion of v7 is intentionally deferred — the researcher will write that section later.)

3. The story

3.1 Late May 2 → 5 May: Perplexity builds v1 and v2 from a Beach-style theory-testing premise

The starting point is the question that begins the v1/v2 Perplexity conversation on 2 May 2026 at 23:09: “Quais os principais textos correntes sobre process tracing? Estou interessado especialmente em coisas recentes de Derek Beach?” The conversation runs on claude46sonnetthinking inside Perplexity’s COPILOT mode, and over the next five questions (still on the night of 2 May) it covers the Beach & Pedersen canon, what a PT database would look like, software options (QualCoder), and how QCA fits.

By the morning of 3 May (09:04), the user asks Perplexity (Q6) to produce the database. Perplexity proposes a flat 16-column schema — id_evidencia, etapa_mecanismo, teste_bayesiano, direcao_evidencia, hipotese_alvo, confiabilidade_fonte, qualcoder_trecho_cruzado, and so on. This is v1. The schema is Beach-style: it presumes a well-specified mechanism with identifiable fingerprints, expects QualCoder integration, and labels hypotheses with a hipotese_alvo field that distinguishes “principal” from “alternativa”.

At 11:16 on 3 May, the user opens a new Claude conversation (2026-05-03_claude_bayesian-tests_v1-through-v4.md), pastes Perplexity’s output, and asks for improvements. Claude proposes adding fingerprint_esperado, evidencia_presente, forca_inferencial, source localization, and several other fields — but stays inside the same theory-testing premise. Throughout 3 May the user moves between Perplexity and Claude, harmonizing suggestions. By Q8 (3 May 19:13) Perplexity has produced the v1 .xlsx plus an R script for SQLite conversion.

Between 4 May and 5 May the schema is normalized: the flat structure breaks into TB_HIPOTESES, TB_ETAPAS_MECANISMO, TB_FONTES, TB_FINGERPRINTS, plus an audit-trail TB_REVISOES. A TB_FINGERPRINTS row is now decoupled from TB_ETAPAS_MECANISMO so multiple fingerprints per step become possible. Two numerical Bayesian fields — prob_evidencia_dado_h (P(E|H)) and prob_evidencia_dado_nao_h (P(E|¬H)) — appear in TB_EVIDENCIAS, with an automatically-computed likelihood_ratio. The first instruction tab is a manifesto with an “inviolable rule” at the top: “Commit TB_HIPOTESES, TB_ETAPAS_MECANISMO and TB_FINGERPRINTS to Git before any fieldwork. That commit is your external proof that theory preceded evidence.” This is v2, dated 5 May 09:33.

What v2 got right. Normalization. The flat v1 could not answer relational queries (“which evidence supports M2 against H_alt1?”); the v2 schema makes those queries straightforward in SQL. The introduction of fingerprint_esperado as a first-class concept formalizes Beach & Pedersen’s core inferential move: define what you expect before you go looking for it.

What v2 got wrong. Everything downstream of the manifesto. The “commit before fieldwork” rule embeds a theory-testing epistemology that does not match the researcher’s actual project. The tipo_hipotese field (principal vs. alternative) builds in an asymmetry that violates Fairfield & Charman’s requirement of mutually exclusive rival hypotheses. The numerical likelihoods invite false precision in a context where likelihoods are at best ordinal intuitions. And the QualCoder integration commits the database to a software ecosystem the researcher has decided to abandon. These are the things v3 will dismantle.

3.2 5 May: the v3 pivot — radical because it removed both numbers and hierarchy

At 5 May 12:02, the user attaches the v2 .xlsx back into Perplexity (Q11 of the v1/v2 conversation) and asks for structural changes. The prompt is long, careful, and explicit. Three claims drive it:

  1. “I am not doing theory-testing. I am doing Inference to the Best Explanation across explanations whose premises I already know. The ‘theory must precede fieldwork’ rule of the manifesto does not apply to my case.”
  2. “I will not use explicit Bayesian probabilities. I will keep the test types (Hoop, Smoking Gun, Straw in the Wind, Doubly Decisive) as logical labels, but only to ask: is this piece of evidence consistent, inconsistent, or indifferent to the fingerprint expected from the mechanism that the hypothesis posits?”
  3. “Every line of evidence needs URL + local file + page/excerpt so the database is auditable at the passage level — not just at the source level. And I am dropping QualCoder.”

This is the prompt that produces v3 (saved 5 May 12:47). It is the most radical revision in the database’s history. Five things change at once:

(a) The numerical likelihoods are deleted. The fields prob_evidencia_dado_h, prob_evidencia_dado_nao_h, likelihood_ratio, and forca_inferencial disappear. In their place: a single text field discriminacao_H_vs_rivals where the researcher writes the qualitative weight of evidence reasoning — “in the world of H1 this document would be expected because X; in the world of H_alt1 it would be unexpected because Y”. This is Fairfield & Charman’s “inhabit the world of each hypothesis,” but written out in prose rather than encoded in two probability numbers.

(b) Hypothesis hierarchy is dissolved. The tipo_hipotese field is removed. There is no longer a “principal” hypothesis with subordinate “alternatives.” Every hypothesis (H1, H2, …, Hn) has equal structural status. A new justificativa_prior text field in TB_HIPOTESES lets the researcher document qualitatively why each hypothesis is plausible, without assigning a numerical prior. The hipotese_favorecida_id foreign key in TB_EVIDENCIAS points to whichever hypothesis the evidence happens to favor — symmetrically across all of them.

(c) Source localization moves down to the passage level. Three new columns in TB_EVIDENCIAS — url, arquivo_local, pagina_trecho — make every evidence row auditable at the passage, not just at the document. A critical reader can now locate the exact line in the exact PDF that supports a discrimination judgment.

(d) QualCoder is removed. The columns codigo_qualcoder and qualcoder_trecho_cruzado are deleted. The database is now self-contained in .xlsx + an R script that exports to SQLite.

(e) The manifesto is replaced by a bilingual READ_ME. The “inviolable rule” about Git-committing-before-fieldwork is gone. The new READ_ME explains the schema as a working tool, in English and Portuguese, with no normative prescription about the order in which the researcher should fill in the tables.

The result is a database that has abandoned the deductive premise without surrendering the Bayesian-logical framework. Van Evera test labels (Hoop, Smoking Gun, etc.) remain — but as vocabulary, not as a procedure. Fairfield & Charman’s own argument that these labels are dispensable inside a strict Bayesian frame is acknowledged in the READ_ME as a transparent tension, not resolved by deleting the labels.

A second Perplexity conversation begins the same afternoon (5 May 13:18) — 2026-05-05_perplexity_v3-structural-pivot.md — to refine the discriminacao logic and produce v3.1 (saved 5 May 13:57).

This is the version of the schema that aligns most closely with the methodology synthesized in ../METHODOLOGY.md. v3 is where the database becomes a tool for explaining-outcome abductive PT rather than a tool for theory-testing.

3.3 5–24 May: gap. The Claude bayesian-tests conversation goes silent on schema, active on substance.

Between 5 May and 23 May the schema does not change. The Claude conversation continues, but the topic shifts from schema design to substantive academic discussion: the intellectual lineage from Moore → Skocpol → Esping-Andersen → Evans → Acemoglu/Johnson/Robinson (AJR) → Rothstein → David Andersen, with explicit positioning of the researcher’s project on the implementation of Brazilian cotas (racial-quota policy in federal universities) within and against that lineage. Three weeks of conversation produce no schema change, but they produce the theoretical context that v4 will then try to encode.

3.4 23 May: the v3 → v4 transition — what v4 fixed, and what it broke again

On 23 May at 12:58, the user returns to schema design with a candid diagnosis:

“I am having difficulty operationalizing the spreadsheet. There are too many tabs filling in too many different things and it is overwhelming. I also think the spreadsheet is organized in a way too focused on theory-testing process tracing and not on a more abductive process — explaining-outcome process tracing — which is what I would like to do.”

This is striking because v3 had already removed the theory-testing framing eighteen days earlier. What the researcher is reporting is that even after v3’s revisions, the schema still felt theory-testing-shaped in use. Three specific frictions had not been fixed by v3:

  1. The single-mechanism assumption. v3 still organized everything around one linear mechanism (M1 → M2 → M3) per hypothesis. But the actual case has three distinct empirical episodes — the PSDB / private-sector relationship in the early 2000s; the contrast between ProUni’s “easy” redistribution and the Quotas Law’s “hard” redistribution; FIES expansion and its capture by educational conglomerates. Each episode has its own actors, its own counterfactual, its own diagnostic logic. A single-mechanism schema flattens that structure.

  2. No room for competing accounts as a first-class entity. v3 treats hypotheses as equals — that part is right — but it does not provide a place to document, for each episode, which alternative account is in play and which claims of the dominant partisan theories are being challenged at that point. The discrimination work happens at the evidence level, but the rival-account specification is left implicit.

  3. No distinction between diagnostic and confirmatory evidence. Evidence that shows “the partisan mechanism does not operate as theorized” is methodologically different from evidence that “the alternative mechanism does operate.” v3 collapses both into the same row type.

Claude’s response (23 May 13:03) is the v3 → v4 redesign. Three structural changes:

  • TB_EPISODIOS becomes a first-class table. Each episode is a distinct causal story with its own actors, its own counterfactual, its own time-window. Evidence rows now point to an episode, not (just) to a mechanism step.
  • TB_HIPOTESES_RIVAIS (or its equivalent in v4) makes the partisan-vs-alternative comparison explicit at the episode level. The partisan theories are still there — but as foils whose mechanism predictions can be falsified episode-by-episode.
  • Evidence rows get a diagnostic role field: does this row show the partisan mechanism not operating, or does it support the alternative? The discrimination logic of v3 is preserved but split into two semantic categories.

So far so good. But Claude — working from its background training, which weights numerical Bayesianism heavily — also reintroduces the numerical fields that v3 had explicitly removed:

  • p_num_h1 and p_num_h2 (numerical P(E|H) for two rival hypotheses)
  • razao_verossimilhanca (likelihood ratio, computed)
  • peso_db (weight of evidence in decibels: 10 × log₁₀(LR))
  • peso_categoria (categorical label derived from the dB value, e.g., “strong for H1”, with conditional formatting in the spreadsheet)

This is exactly the Fairfield & Charman 2017 operationalization — explicit, numerical, dB-based — and it is not what the researcher had asked for. v3 had deliberately dropped it. v4 brings it back, embedded in a sleeker UI (dropdowns + auto-computation). The v4 .xlsx is saved to disk on 24 May at 14:25 (xlsx_templates/v4_banco_process_tracing_baesiano_abdutivo.xlsx).

Then, on 23 May at 17:31, the researcher catches a second issue, this time about Git rather than about decibels:

“Why do I have to commit the file to Git before collecting evidence? Does this matter for abductive process tracing? What do Fairfield & Charman say about this?”

Claude’s response (17:32) is unusually candid. It walks back its own earlier framing:

“You ask a good question — and the honest answer is that I exaggerated the argument when I applied it to your design. (…) For your explaining-outcome PT, that argument partially dissolves. In abductive PT, revising your account in light of evidence is not bias — it is the method itself. (…) Fairfield & Charman do not advocate pre-registration in the experimental-sciences sense. Their concern with cognitive bias is more specific: hindsight bias in the assessment of likelihoods. The solution they propose is not pre-commitment — it is explicit and documented counterfactual reasoning.”

In other words: the Git commit has audit-trail value but not epistemological value. The protection against hindsight bias does not come from when you commit — it comes from the quality of the justificativa_likelihoods field. v3’s removal of the manifesto rule was right; v2’s framing of pre-commitment as the “inviolable rule” was wrong.

The next day (24 May 14:01–14:03), the researcher asks for a new README reflecting these corrections. Claude produces a 185-line README_v2.md (preserved as llm_conversations_database-development/drafts/Genereted README_v2 about the database generation an objectives.qmd) which is leaner than the original 367-line README, drops the Git-as-epistemological-protection claim, and is honest about what each component of the schema is for.

So what v4 fixed in v3:

  1. The single-mechanism flattening — v4 introduces episodes.
  2. The implicit rival specification — v4 makes rivals first-class at the episode level.
  3. The conflation of diagnostic and confirmatory evidence — v4 separates the two.
  4. The latent residue of the manifesto framing — v4’s README admits the Git-as-pre-registration argument was overstated.

And what v4 quietly broke that v3 had fixed:

  1. The deliberate abstention from numerical likelihoods — v4 reinstates them in the form of decibel-weighted likelihood ratios. This is the issue the researcher will dismantle again later, in the post-v4 work that is not yet documented in this file.

The general pattern is visible: the schema oscillates between two attractors — the qualitative WOE-as-prose pole (v3) and the numerical WOE-as-decibels pole (v4 and the V5 conversation). The researcher pulls toward qualitative; the LLM, given any plausible opening, pulls back toward numerical. v7, which we will discuss later, is the version that decisively resolves this oscillation.

3.5 24–26 May: the V5 conversation — Fairfield & Charman 2022, the full book

On 24 May at 20:08, the researcher opens a second Claude conversation — 2026-05-24_claude_v5-fairfield-charman-2022-deepread.md — and uploads the full Fairfield & Charman (2022) PDF. This is the deep-read conversation. The redesign produced inside it is what would have become v5 and v6, but no standalone .xlsx for those numbers is saved to xlsx_templates/. Instead, the design work consolidates directly into v7 on 26 May at 16:18.

(The substantive content of the V5 conversation, and what v7 does with it, are deferred. See NEWS.md for a partial summary and the V5 conversation itself for the detail.)

4. Lessons learned / Lições aprendidas

4.1 The shape of theory matters more than the shape of data.

Every major schema change in this history was triggered by re-framing the theory, not by finding new data. v1 → v2 was driven by realizing that flat schemas cannot encode mechanism structure. v2 → v3 was driven by re-classifying the project as explaining-outcome rather than theory-testing. v3 → v4 was driven by recognizing that the empirical material was organized as three distinct episodes, not one linear mechanism. None of these changes was a response to a new piece of evidence. They were all responses to a new understanding of what the database was for.

A forma da teoria importa mais que a forma dos dados. Cada mudança grande no esquema foi disparada por uma reinterpretação teórica, não por uma evidência nova.

4.2 Numerical precision invites false confidence — but the pull back toward it is strong.

The v3 pivot was the most important methodological learning in the project’s history. Removing prob_evidencia_dado_h and prob_evidencia_dado_nao_h was not a stylistic choice — it was an admission that any number the researcher would assign to those fields would be a sham of precision. The qualitative discriminacao_H_vs_rivals field forces the researcher to write out the counterfactual reasoning rather than compress it into two digits.

But v4 brought the numbers back, in dB form, the moment the LLM was given an opening (an explicit redesign request, with the F&C 2017 paper in the background). The pull toward numerical Bayesianism is structural in the LLM’s training data. The discipline of staying qualitative requires active re-affirmation at every iteration. This is the single most consistent observation across the whole arc.

4.3 Symmetric hypotheses are a structural commitment, not a stylistic preference.

v1 and v2 used tipo_hipotese (principal / alternativa). v3 removed it. v4 kept the symmetry. By the time the V5 conversation began, there was no question of returning to a “principal hypothesis” framing — but only because the schema enforced symmetry. If the field had still existed, the partisan theories (Ansell, Garritzmann, Busemeyer) would likely have been re-coded as “principal” by default, simply because they are the most prominent in the literature. Schema commitments are stronger than narrative commitments.

4.4 Auditability at the passage level was the field set that took longest to converge, and proved most consequential.

url, arquivo_local, pagina_trecho are three text fields. They are not analytically interesting. But they took until v3 (5 May) to enter the schema, and once they did, they enabled something none of v1 or v2 could: a critical reader can now disagree with a specific judgment by locating the exact passage in the exact source. That is what makes the database replicable in the qualitative-research sense. The Fairfield literature on transparency (QDR, ATI, Fairfield 2013, Andersen 2024) provides the framing; the three columns are what operationalizes it.

4.5 Iterative design mirrors iterative methodology.

The database’s own evolution went back and forth between framework and evidence — exactly the abductive pattern it is designed to support. v1 was deductive (start with the canonical schema, refine downward). v2 added normalization without changing premises. v3 was a full re-framing triggered by the researcher’s revised methodological self-understanding. v4 was a partial re-framing triggered by friction with empirical reality (three episodes, not one mechanism). The schema is not converging because the methodology is converging — both are co-evolving.

4.6 LLM assistance accelerates but does not replace methodological judgment.

Every version where the LLM was given the wrong methodological frame produced a beautiful but misaligned design. The 367-line theory-testing README on 20 May, the decibel-weighted v4 on 23 May, the Git-as-pre-registration manifesto in v2 — all of these were LLM outputs that the researcher had to dismantle in subsequent prompts. Crucially, in each case the LLM admitted the error once challenged. But the LLM did not self-correct. The corrections came from the researcher’s explicit re-framing. This is not a complaint about LLMs — it is an observation about the division of labor. The LLM is fast and articulate; the researcher is methodologically anchored. The combination works only when the researcher anchors actively.

A assistência de LLM acelera, mas não substitui o juízo metodológico. Toda versão onde a LLM foi alimentada com o enquadramento errado produziu um design bonito mas desalinhado.

5. What remains open

  • v5, v6, v7: the V5 Claude conversation produced extensive design work between 24 and 26 May that did not crystallize as v5 or v6 .xlsx files in xlsx_templates/; the design jumped directly to v7 (working database at repo root, mtime 26 May 16:18). The substantive narrative for this stretch is deferred per the researcher’s instruction.
  • The qualitative-vs-numerical oscillation: each cycle (v3 qualitative → v4 numerical → v7 ???) has resolved this differently. The current methodology in METHODOLOGY.md is committed to qualitative logical Bayesianism. Whether v7’s schema is consistent with that commitment is an empirical question to be answered when v7 is documented.
  • The R script (.xlsx → SQLite) drafted by Perplexity on 3 May (Q8) has not been re-validated against the v4 schema.
  • Fairfield & Charman (2022) book-level claims: the synthesis in METHODOLOGY.md still derives mostly from the 2017 article. Resolved: METHODOLOGY.md was rewritten on 2026-05-26 to fully align with the 2022 book, including the verbal probability scale and decibel weight-of-evidence system (see NEWS.md entry for that date).

6. Sources used to reconstruct this history

All in llm_conversations_database-development/conversations/:

Source Provider Span Notes
2026-05-02_perplexity_pt-literature-and-v1-v2-schema.md (orig. perplexity_search- v1 and v2 ...md) Perplexity (COPILOT, mostly claude46sonnetthinking; some pplx_pro_upgraded and turbo) 2026-05-02 23:09 → 2026-05-05 12:02 11 questions; the foundational session
2026-05-03_claude_bayesian-tests_v1-through-v4.md (orig. Claude-Banco de dados ... testes bayesianos.md) Claude (claude.ai; model not exposed in export header) 2026-05-03 11:16 → 2026-05-24 14:03 The long arc through v1, v2, v3, v4, and the two methodological turning points
2026-05-05_perplexity_v3-structural-pivot.md (orig. perplexity_search-v3 Banco Process Tracing_...md) Perplexity (COPILOT, claude46sonnetthinking) 2026-05-05 13:18 → 2026-05-24 22:32 7 questions; refined v3 into v3.1
2026-05-24_claude_v5-fairfield-charman-2022-deepread.md (orig. Claude-V5 Banco de dados ... em pesquisa.md) Claude (claude.ai) 2026-05-24 20:08 → 2026-05-26 10:45 F&C 2022 deep-read; source of v5/v6 design that consolidates into v7

The xlsx files used as artifact-level evidence:

Path mtime
llm_conversations_database-development/xlsx_templates/banco_pt_process_tracing.xlsx (v1) 2026-05-05 09:34
llm_conversations_database-development/xlsx_templates/banco_pt_process_tracing_v2.xlsx (v2) 2026-05-05 09:33
llm_conversations_database-development/xlsx_templates/banco_pt_process_tracing_v3.xlsx (v3) 2026-05-05 12:47
llm_conversations_database-development/xlsx_templates/banco_pt_process_tracing_v3_1.xlsx (v3.1) 2026-05-05 13:57
llm_conversations_database-development/xlsx_templates/v4_banco_process_tracing_baesiano_abdutivo.xlsx (v4) 2026-05-24 14:25
v7_banco_process_tracing_baesiano_abdutivo_manual.xlsx (v7, working database) 2026-05-26 16:18

7. See also

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