Collaboration école-famille et prévention du décrochage scolaire : des pistes d’action pour les enseignants du primaire
Bibliographic record
Abstract
Cette etude qualitative s’interesse aux interventions de collaboration ecole-famille (EF) menees par des enseignants du primaire qui tiennent compte des facteurs de risque et de protection familiaux en vue de prevenir le decrochage scolaire. L’echantillon est compose de dix enseignants dont l’ecole primaire est situee dans une municipalite presentant un taux de sortie sans diplome du secondaire de 10 % et plus. Les resultats indiquent que les enseignants menent plus d’une fois par annee des interventions de collaboration EF en lien avec 2 des 14 facteurs familiaux. Des formations sur la collaboration EF et la prevention du decrochage scolaire, de meme que la participation active de la communaute sont recommandees afin que s’opere un changement de paradigme ou le role des parents et leur participation seraient davantage reconnus par les enseignants.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".