Transforming Students, Transforming Self: The Power of Teaching Social Justice Struggles in Context
Bibliographic record
Abstract
This essay reflects on the cross-cultural learning and teaching moments of students completing bilingual externships in Guatemala and working on projects related to the environmental justice struggles of indigenous communities affected by the Canadian Marlin Mine operations in the country. Transnational mining in Guatemala is one example of how the convergence of the local and global has divided a nation and has introduced new powerful actors and norms to change power dynamics and reshape strategies for social justice. The essay explores how the poor indigenous communities in Guatemala have experienced Canadian Mining. To the local Mayan communities of San Miguel, Ixtahuacan and Sipacapa, global strategies and norms have inevitably shaped their daily struggles for cultural cohesiveness and sustainability as they encounter transnational actors and forces. These struggles have radically transformed these communities, and their plight offers broader lessons to other communities facing similar struggles and to law students learning about social justice in the context of globalization.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.077 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".