Estudo de caso sobre a digitalização e informatização da Série Obras Particulares do Arquivo Histórico Municipal de São Paulo
Bibliographic record
Abstract
The article discusses the methodologies and the research path of the project of digitization and computerization of the Obras Particulares Series of the Arquivo Histórico Municipal de São Paulo, a set of documents consisting of the requirements and architectural drawings of renovations and construction of new buildings carried out in the capital of São Paulo between the last quarter of the 19th century and the first decades of the 20th century. The implementation of the project Arquivo Histórico Municipal Washington Luís — A Cidade de São Paulo e sua Arquitetura took place alongside the process of improving the internal database of the archive, the SIRCA. This helps to contextualize the actions and debates of the agents involved, demonstrating not only their varying professional interests but also the outcome of the project for researchers and the public in general. With the analysis of scientific reports, the institution’s databases, articles published in the Revista do Arquivo Municipal and interviews with the professionals involved with the project, we will trace a path of how the initiative of digitization and computerization of the Obras Particulares Series was developed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".