Race and Participation in International Experiential Learning: Case-Based Exemplar of a Habitat-University Partnership in El Salvador
Bibliographic record
Abstract
International experiential learning – IEL, has various pedagogical concerns associated with the colonial and racialized lineage underlying its Global South engagements. Drawing on critical race theory, White privilege and globally engaged learning research as they inform IEL, this case-based study of ‘northern’ participant perceptions of their experiences in a partnership between Habitat for Humanity in El Salvador, and a Canadian university, focuses on a ‘catalytic moment’ in El Salvador. That is, a unique situation arose which prompted participant women of colour – PoC, to share distinct insights and counter-stories from their positions, providing an opening for deeper attention to race for all of the participants, and we believe, for IEL practice more broadly. And in this context, the host partners saw opportunities for IEL participation both North and South, to be strengthened through greater diversity in team-composition and in associated host-community learning and relationship development.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".