« Au-delà du syndrome de la ‘‘citation payante’’ » : les archives vivantes et la recherche réciproque en histoire orale1
Bibliographic record
Abstract
Les organismes subventionnaires nord-américains et européens se sont engagés à promouvoir une culture de partage des données qualitatives et ce changement de perspective a suscité des controverses dans certaines disciplines, en particulier dans les cas où la propriété intellectuelle et l’identité disciplinaire reposent sur le travail de terrain plutôt que sur une réutilisation ou une analyse secondaire des données récoltées par d’autres chercheurs. Cet article vise principalement la valeur interprétative et créative des bases de données numériques d’histoire orale, ou archives vivantes, ainsi que leur valeur publique ou politique. Les archives d’histoire orale doivent être des sites de circulation de données et de conservation numérique ainsi que des dépôts dynamiques visant la préservation à long terme.
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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 | 0.115 | 0.293 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.020 |
| Science and technology studies | 0.010 | 0.047 |
| Scholarly communication | 0.028 | 0.023 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".