L'artiste comme «entrepreneur de soi» : investir sur soi à travers son association professionnelle
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cet article se penche sur les associations d’artistes professionnels reconnues pour agir comme syndicats. Il propose que les associations d’artistes professionnels, en intervenant sur les conduites possibles des artistes, contribuent a la formation de l’artiste comme « entrepreneur de soi », un sujet qui, en contexte neoliberal, est individuellement responsable de son developpement professionnel. Cet article analyse les pratiques de categorisation des artistes par les associations et les pratiques d’investissement sur soi qu’elles stimulent, tels qu’en temoignent quelques artistes interviewes. Il argumente que la categorisation effectuee et les services offerts par les associations, en incitant les artistes a investir sur eux-memes, placent leur employabilite au centre de leur securite sur les marches du travail.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it