(In)visibilité de la sociologie en français : enjeux et états des lieux
Bibliographic record
Abstract
Notre colloque portera sur les pratiques, les enjeux et les particularités de la recherche sociologique et de l’enseignement de la sociologie en langue française. La journée permettra de discuter des thèmes suivants ou d’autres, connexes: survol historique du développement de la sociologie en français, au Québec, en Acadie, dans les universités bilingues ou dans d’autres contextes canadiens ou de la Francophonie internationale; divergences et convergences thématiques et théoriques en recherche ou en enseignement entre la sociologie de langue française et celle de langue anglaise ou entre différents contextes francophones; analyses bibliométriques comparatives entre les publications sociologiques selon la langue; enjeux et défis liés à l’enseignement de la sociologie en français, notamment en regard au matériel pédagogique.
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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.014 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.601 | 0.069 |
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".