“It Doesn’t Feel Like a Natural Fit”: Co-operating Teachers Account for Their Evaluation and Assessment of Pre-service Teachers’ Efforts to Fulfill Social Justice Indicators
Bibliographic record
Abstract
Teacher education has long been troubled by the problem of reconciling what happens in course work with how that learning is taken up in practicum experiences. Our faculty asks co-operating teachers to account for interns’ professional growth by the extent to which the interns meet the requirements of the Internship Placement Profile (IPP). The study focuses on the eight IPP items which relate directly to “teaching for social justice.” The theoretical framework draws upon the literature of anti-oppressive/anti-racist pedagogies. Co-operating teachers and interns are expected to rely on the field manual that lists descriptors for each item of the IPP to assess growth and to set goals. The objective to understand how co-operating teachers perceive their intern’s ability to teach for social justice and reach their final evaluation was modified to reflect the finding that cooperating teachers were sometimes less familiar with these principles than were the interns.
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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 | 0.019 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".