Centering Social Justice and Well-Being in FSL Teacher Identity Formation to Promote Long-Term Retention
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
The French as a second language (FSL) teacher shortage crisis has been a longstanding issue in Canada. In this paper, we examine the links between teacher agency, autonomy and identity in light of findings about marginalization, deprofessionalization, and/or difficulty in developing a strong sense of identity. Taking these findings into account, we propose an FSL teacher preparation model rooted in social justice and well-being which centers identity development through four pillars for success: language proficiency, intercultural competence, pedagogical knowledge and skill, and collaborative professionalism. We examine the implications of taking such an approach in FSL teacher preparation and argue that applying a social justice lens to identity development sets FSL teachers up for effective professionalization and a sense of well-being that can lead to long-term retention in the field. Keywords: French as a second language, language teacher identity, teacher retention, social justice, well-being
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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