Dispositifs et activité en éducation, formation, orientation
Bibliographic record
Abstract
Depuis une trentaine d’années, une transformation en profondeur de l’action publique et des politiques éducatives s’est amorcée : les indicateurs de compétitivité et de performance occupent une place accrue dans un écosystème éducatif désormais organisé et géré par dispositifs. Dans ce dossier thématique, nous nous intéresserons tout particulièrement à cette structuration par dispositifs pour analyser les transformations des relations de pouvoir, des prescriptions, normes et cadres du travail des professionnels de l’éducation ainsi qu’à la manière dont ces transformations contribuent à façonner de nouvelles professionnalités. Il s’agit d’explorer par quels processus et par quels ressorts un dispositif parvient à affecter, au sens de transformer, l’activité des professionnels concernés et des bénéficiaires engagés dans celui-ci. Les analyses proposées concernent le champ de l’enseignement, de l’éducation, de la formation et de l’orientation dans des régions françaises, suisses et québécoises. Over the past thirty years, a profound transformation of public action and educational policies has begun: competitiveness and performance indicators have taken on a greater role in an educational ecosystem that is now organised and managed by mechanisms. In this thematic dossier, we are particularly interested in this structuring by devices in order to analyse the transformations of power relations, prescriptions, norms and frameworks of the work of education professionals, as well as the way in which these transformations contribute to shaping new professionalities. The aim is to explore the processes and mechanisms by which a system can affect, in the sense of transforming, the activity of the professionals concerned and the beneficiaries involved in it. The proposed analyses concern the field of teaching, education, training and vocational guidance in the French, Swiss and Quebec regions.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".