Plan d'action en matière d'éducation des adultes et de formation continue [ressource électronique] : apprendre tout au long de la vie
Bibliographic record
Abstract
Ce plan d'action est un expose de la situation sur la formation de base des adultes, sur la formation continue liee a l'emploi, sur reconnaissance des acquis et des competences. Il vise a susciter la demande de formation ; accueillir, conseiller et accompagner l'adulte dans sa demarche en offrant des services ajustes a ses besoins. Ce document s'adresse aux decideurs, gestionnaires en education des adultes. L'objectif convoite est d'augmenter de facon importante le niveau de formation de base des Quebecois et des Quebecoises. Les mesures a prendre pour atteindre cet objectif sont de faire la promotion de la formation des adultes et d'amener les adultes a entreprendre un projet de formation. Les autres mesures preconisees sont de cerner la situation, les besoins et les caracteristiques de la clientele potentielle en diversifiant les modes et les lieux de formation, d'offrir un programme d'apprentissage en milieu de travail et de procurer un meilleur financement pour la formation des adultes.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".