Distributed pedagogy of difference: Reimagining immigrant training and education
Bibliographic record
Abstract
In order to integrate into the host labour market, immigrants are often expected and indeed trained to minimize sociocultural differences. This paper problematizes the deficit/dismissive approach towards difference. It stresses instead that, in the context of globalization and immigration, encounters of difference have afforded a potentially productive and permeable space of living, learning, teaching, working and change vis-à-vis the hegemony of western-centric culture and practices. It then advances a distributed pedagogy of difference. The pedagogical proposals made include: 1) turning differences into strength based curriculum; 2) engaging differences to advance knowledge and practices; and 3) experimenting with sociocultural and sociomaterial power and order. Central to these pedagogical proposals is to mark differences as a space of learning and teaching for all, and a point of expansion for sociocultural and sociomaterial practices. This distributed pedagogy incorporates and extends the scholarship of critical pedagogies, and benefits from the practice-based ontology of learning.
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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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.045 |
| Scholarly communication | 0.013 | 0.015 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".