Reframing Teacher Engagement: A Framework for Improving Workplace Conditions to Foster Teacher Engagement
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
Historically, the factors contributing to teacher engagement have been premised on the idea that engagement is grounded in intrinsic motivation and intrapersonal characteristics. This narrative literature review offers an alternative perspective, whereby teacher engagement is enhanced through creating policies to improve workplace conditions and foster engagement. Within the findings, three essential conditions to foster teacher engagement were identified: a supportive organization, active leadership, and healthy interpersonal relationships. A conceptual framework based on these findings is constructed and proposed as an aid to school leaders in policy development to improve teacher engagement. Keywords: Teacher engagement, conditions, policy, framework, school leaders Historiquement, les facteurs contribuant à l'engagement des enseignants ont été basés sur l'idée que l'engagement est fondé sur la motivation intrinsèque et les caractéristiques intrapersonnelles. Cette analyse documentaire narrative propose une autre perspective, selon laquelle l'engagement des enseignants est renforcé par la création de politiques visant à améliorer les conditions de travail et à favoriser l'engagement. Dans les conclusions, trois conditions essentielles pour favoriser l'engagement des enseignants ont été identifiées : une organisation de soutien, un leadership actif et des relations interpersonnelles saines. On construit un cadre conceptuel basé sur ces résultats et on le propose au leadership scolaire comme appui au développement de politiques visant à améliorer l'engagement des enseignants. Mots clés : Engagement des enseignants, conditions, politique, cadre, leadeurship scolaire
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 | 0.012 | 0.029 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.050 | 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