Trajectoires sociales et scolaires de jeunes de 16-24 ans issus de l'immigration en formation générale des adultes et analyse de deux projets de «Persévérance scolaire» (2007 et 2009) [ressource électronique]
Bibliographic record
Abstract
Cette etude exploratoire s'est interessee aux trajectoires scolaires et sociales de jeunes de 16-24 ans, de 1ere ou de 2eme generations issues de l'immigration, qui se retrouvent en formation generale aux adultes (FGA) pour terminer leurs etudes secondaires, de meme qu'a deux projets de « perseverance scolaire » s'adressant a ces jeunes a la Commission scolaire de Montreal (CSDM). Cet article presente les faits saillants du premier volet sur les trajectoires, et souleve un ensemble d'hypotheses qui a conduit a une seconde etude sur les processus systemiques et les pratiques de classement et d'orientation dans six commissions scolaires (Montreal et Sherbrooke) et leurs impacts sur les trajectoires scolaires de ces apprenants. Cette etude est la premiere au Quebec a dresser un « diagnostic » qualitatif des parcours de jeunes de 16-24 ans issus de l'immigration au secteur des adultes, l'experience scolaire de ces jeunes etant encore peu documentee, autant au plan statistique qu'au plan des pratiques institutionnelles et des perceptions des acteurs dans ce secteur. - Tire du doc.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".