O LÉXICO DA VIOLÊNCIA CONTRA A MULHER EM MANUSCRITO HISTÓRICO DO SÉCULO XVIII: CONSIDERAÇÕES LEXICOGRÁFICAS
Bibliographic record
Abstract
This article presents a study of lexical units related to the lexical field of violence against women, from theanalysis of the semidiplomatic edition of the 18th century Application of the Overseas Historical Archive,related to Bahia, which was catalogued by the Resgaste Barão do Rio Branco Project, in 2019. Based onthe theoretical basis of Gonçalves (2017; 2020abc), Barbosa (1990; 2001), Welker (2004) and Abbade(2006) and from the philological exercise of editing in articulation with the lexicographic and lexicologicalstudy, 15 lexical units were listed and analyzed in this historical document, considering the definitionsrecorded in three lexicographical works, in their respective electronic versions: Bluteau (1712-1728),Vieira (1871-1874) and Moraes Silva (1813). By analyzing the lexical repertoire of the aforementioneddocument, it is possible to perceive social and ideological issues, which make us reflect on the cultural anddiscursive practices of gender violence in Portuguese American colonial society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".