A institucionalizaçao profissional da arquivística: uma análise discursiva panor amica do Brasil e Canadá
Bibliographic record
Abstract
The aim of this article is to describe the historical elements of the course of archival associations, an end to demarcate, how the professional body - area was developed in relation to its institutionalization of its associated movement. Archives is approached through analysis, historical-discursive. The stat-utes of two professional associations of the area are analyzed, the Association of Brazilian Archivists and the Association of Canadian Archivists. While a methodological contribution is based on the analysis of the French language, developed by Michel Pêcheux and the concept of discursive formation, appropriated by the area of analysis of the discourse of the work of Michel Foucault, seeking to construct a discursive analysis of the analyzed institutions. Thus, it is understood the associations, as a significant instance and subject to anal-ysis seek to demarcate the performance of professional asso-ciation
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.027 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".