Laval (Christian) Foucault, Bourdieu et la question néolibérale. Paris, La Découverte, 2018. 264 p.
Bibliographic record
Abstract
Cette note de recherche est issue d'une enquête collective par questionnaire administrée entre novembre 2018 et mars 2019, conduite in situ pendant la mobilisation des Gilets jaunes. Elle se penche sur trois aspects : les difficultés méthodologiques inhérentes à l'enquête par questionnaire dans les mouvements sociaux, les caractéristiques sociodémographiques des participants et, enfin, leur rapport au politique et leurs revendications. Les Gilets jaunes ont mobilisé certaines fractions des classes populaires et moyennes. C'est aussi un mouvement social dans lequel se retrouvent à la fois des primo-mobilisés et des individus aux ressources militantes certaines. Nous montrons l'existence de différences de profils sociaux et politiques selon le lieu et le moment de l'implication des enquêtés.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".