Démarcher l’autonomie professionnelle éthiquement : conversation avec le directeur d’une entreprise apprenante et citoyenne suisse
Bibliographic record
Abstract
La présente contribution prend la forme d’un entretien avec une personne du terrain de l’insertion professionnelle, le fondateur et directeur général de l’entreprise apprenante et citoyenne suisse Démarche. Le dessein du partage de cette expérience est triple : 1) se questionner sur le concept d’accompagnement de l’autonomie à partir d’une situation particulière ; 2) cerner les diverses mesures, ressources et conditions concrètement investies par la Coopérative pour « démarcher l’autonomie », en l’occurrence favoriser attention et inclusion, en appréhendant avec bienveillance les autonomies singulières et vulnérables des bénéficiaires concernés ; 3) envisager les bénéfices possibles d’une (res)saisie réflexive des démarches d’accompagnement de l’autonomie investies ainsi que d’une conversation entre pratique(s) et théorie(s).
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 | 0.045 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.031 |
| Insufficient payload (model declined to judge) | 0.018 | 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; 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".