Bibliographic record
Abstract
Parmi tous les métiers de la recherche, on retrouve au Québec, dans le réseau de la santé et des services sociaux (RSSS), cette catégorie étrange de chercheur·euse en établissement. Par rapport à d’autres métiers de la recherche, le métier de chercheur·euse en établissement présente une positionnalité spécifique en regard des institutions, des rapports de genre et des rapports de connaissance et de production scientifique. Je développe cette réflexion autour de trois idées: celle d’un avantage ethnographique formel et informel qui articule les positions d’ insider et d’ outsider , celle d’un métier à majorité féminine qui teinte à la fois ses conditions matérielles, mais aussi ses conditions de reconnaissance au sein des rapports de connaissance et, finalement, l’idée d’un rapport au terrain qui dépasse les moments ponctuels de la collecte de données pour prendre la forme d’une relation continue.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.039 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".