Comment exercer le métier de sociologue dans une société caractérisée par une forte circulation des savoirs ?
Bibliographic record
Abstract
En raison de la grande circulation des savoirs qui caractérise les sociétés contemporaines, l’exercice du métier de sociologue demande à celles et ceux qui le pratiquent une grande vigilance sur le sens et la portée de leurs affirmations, d’une part, et sur la mise au point de procédures garantissant le maintien de leur posture critique d’autre part. L’analyse des participations juvéniles en France révèle toutes les difficultés relatives à cet enchevêtrement des discours tenus par le personnel politique, l’administration et les acteurs sociaux si bien que l’on retrouve les mêmes notions d’autonomie, projet, engagement et responsabilité dans tous les ordres discursifs considérés. À partir d’une enquête en cours d’exploitation, cet article proposera une approche obviant à ces coïncidences lexicales.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 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".