Bien-être, engagement académique et perception des technologies en formation initiale à l’enseignement : enquête dans le contexte de la Belgique francophone
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
Cette tude a pour objectif de mesurer les concepts de bien-tre, d'engagement acadmique et de perception positive des technologies auprs des tudiants et tudiantes en formation initiale l'enseignement en Belgique francophone, au moyen d'une enqute mene l'automne 2023 (N = 175).Dans un contexte marqu par une pnurie de personnel enseignant et une rforme de sa formation, il semble pertinent d'examiner ces concepts pour mieux comprendre ce qui contribue au dveloppement d'une identit professionnelle positive.Les rsultats indiquent que l'engagement acadmique et la perception positive des technologies sont significativement lis au bien-tre, bien qu'aucun lien significatif n'a pu tre tabli entre engagement acadmique et perception positive des technologies.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it