Distributed pedagogy of difference: Reimagining immigrant training and education
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
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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