Du théâtre pour rendre compte de l’expérience plurielle des jeunes des quartiers populaires
Bibliographic record
Abstract
Qu’est-ce qu’être jeune dans un quartier populaire ? À quelle expérience sociale, urbaine, familiale, à quelles visions de sa place dans la société et dans le territoire cela renvoie-t-il ? Comment dépasser les images caricaturales homogénéisantes dont les jeunes de ces quartiers font l’objet ? Pendant quatre ans, l’équipe de recherche Pop-Part constituée d’une quinzaine de chercheur·es, d’une dizaine de professionnel·les de la jeunesse, d’une centaine de jeunes habitant·es de quartiers populaires franciliens ont conduit une recherche participative visant à répondre à ces questions. Cette recherche participative a débouché sur la publication d’un ouvrage et d’un site Internet, mais aussi d’une pièce de théâtre. Nous proposons ici de revenir sur cette expérience théâtrale comme forme de restitution et d’interprétation d’un travail scientifique, comme relais de la parole des jeunes, et outil de mise en débat.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".