Les motifs évoqués par les enseignants débutants pour expliquer leur envie de quitter le métier et les implications pour soutenir leur persévérance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Plusieurs recherches tentent actuellement de mieux comprendre les effets des programmes d'insertion professionnelle (PIP) implants pour remdier au dcrochage enseignant. N'ayant obtenu aucun rsultat significatif dans une tude quant aux diffrences entre les participants en fonction de leur participation un PIP, nous nous sommes intresss aux diffrences attribuables au fait d'avoir dj pens quitter l' enseignement. Cette tude vise comprendre pourquoi les enseignants dbutants ont eu cette pense et quelles en sont les implications pour les PIP. Les rponses de 59 participants deux questions issues de l' tude initiale ont t soumises une analyse de contenu. Les rsultats clairent leurs motifs qui sont trs diversifis et appuient la ncessit d'une combinaison de mesures dans les PIP.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it