The Relevance of a Migration Background to the Professional Identity of Teachers
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
Immigrant teachers face several specific expectations from policy makers, colleagues, as well as the media. Often new hopes are pinned on them for teaching (ethnically) diverse learners. Their professional identity is inevitably linked to these expectations. In this regard, this paper discusses the findings of a qualitative study exploring the professional identities of immigrant teachers. Furthermore, it draws implications for teacher education. Reflecting on our research findings, we illustrate two types of professional identities: Teachers who accept the “special skills” ascribed to them, and where the migration background constitutes the core of their professional identity, as well as others, who reject the expectations, and appeal to the pedagogical skills they share with their colleagues without a migration background. Given our findings, future teachers need more support when it comes to reflecting their own biography, political and public expectations, and the bearings on their professional identity.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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