LE CONSEILLER PÉDAGOGIQUE EN TANT QU’AGENT DE CHANGEMENT : COMPÉTENCES ET LEADERSHIP TRANSFORMATIONNEL
Bibliographic record
Abstract
Les conseillers pédagogiques participent à la mise en œuvre des orientations du ministère de l’Éducation et de celles de leur conseil ou commission scolaire en matière d’enseignement afin de répondre aux besoins d’innovation, de communication et de collaboration des apprenants du 21e siècle. Outre leurs connaissances pédagogiques, leur propension pour l’innovation et leurs habiletés relationnelles, ils sont peu préparés à exercer leur fonction d’agent de changement auprès de leurs collègues enseignants. Cet article fait état des résultats d’une recherche visant à comprendre de quelles façons se manifeste le leadership transformationnel de conseillers pédagogiques au regard de leur rôle d’agent de changement. Des entretiens semi-dirigés auprès de sept conseillers pédagogiques et de quatre directrices de services pédagogiques provenant de quatre conseils scolaires francophones de l’Ontario ont permis de dégager des liens entre les compétences qu’ils mobilisent pour guider les enseignants vers un changement de pratique et les manifestations du leadership transformationnel telles qu’élaborées par Bass (1998).
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".