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 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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".