Des rencontres de proximité : apprendre de l’autre, pour tisser de la solidarité et de l’espoir
Bibliographic record
Abstract
Une équipe de proximité est née il y a plus de huit ans de préoccupations communes concernant la population des jeunes dits « de la rue », désaffiliés, en situation de grande précarité ou de rupture, et les intervenants qui vont à leur rencontre. Des rencontres de proximité qui ont su durer dans le temps, malgré des départs ou des changements et au gré de nouvelles arrivées. Un projet de partenariat , gravitant autour de valeurs et de principes communs. Un regroupement d’intervenants ayant à coeur l’amélioration des services à la population des jeunes exclus et marginalisés ou à risque de le devenir. Des intervenants de cette équipe, provenant de divers horizons et institutions, expliquent pourquoi ils y croient.
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 | 0.002 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".