Tuning frequencies of multicultural education objectives to distinct society perspectives: two teacher candidate interviews transmitted through narrative inquiry
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
Through a qualitative approach of narrative inquiry, this paper examines how Québec’s distinct society identity interacted with objectives of a Multicultural Education course in Montreal. The authors, one of whom was a teaching assistant in the course and the other a student in the course, interviewed seven students and the professor. The reasonable accommodation debates on how best to integrate Québec immigrants into a society steeped in distinct society narratives were the backdrop to both the course and the research. This paper contributes to the growing research on how teacher candidates negotiate multicultural education programme objectives. Based on our analysis of two participants’ interviews we advocate for a more context‐based approach with course content specific to the distinct society element in multicultural courses.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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