L’apprentissage expansif et la construction de l’identité de jeunes à travers la réalisation d’un documentaire scientifique : un projet d’agentivité transformatrice
Bibliographic record
Abstract
Inspirs par les travaux de Vygotsky, nous examinons l'apprentissage selon une vision de l'individu comme crateur et agent de changement. En nous appuyant sur ses lments cls de la thorie socioculturelle, nous entendons explorer ce qu'un tel concept, jumel celui de construction de l'identit, peut sous-tendre dans le cadre du fonctionnement d'un club scientifique parascolaire mis sur pied collectivement, et proposant des activits destines des jeunes d'une cole secondaire. Nous nous intressons plus particulirement au processus de ralisation en commun d'un documentaire vido portant sur les sciences, processus qui s'est tal sur douze semaines. Nous entendons ainsi explorer des formes d'implication en sciences qui ne correspondent pas aux modles normatifs typiques des sciences enseignes l'cole. Nous voulons du coup montrer dans quelle mesure une telle implication favorise l'apprentissage cratif et la construction de l'identit en matire de sciences ainsi que l'mergence d'une communaut d'apprentissage propice autant l'agentivit transformatrice des jeunes qu' celle des animateurs.
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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.016 | 0.025 |
| Scholarly communication | 0.022 | 0.011 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".