The Trinational Coalition in Defense of Public Education and the Challenges of International Teacher Solidarity
Bibliographic record
Abstract
The ascendance of economic globalization, epitomized for the United States, Canada, and Mexico by the North American Free Trade Agreement (NAFTA), has been paralleled by the increasingly transnational scale of education policy. While national and regional governments remain the employers of public school teachers, the policies articulated by supranational institutions including the Organization for Economic Co-operation and Development (OECD) are ever more influential. Teacher internationalism has become increasingly significant for its capacity to both articulate shared analyses of the predominantly neoliberal character of global education policy and coordinate cross-border solidarity. The Trinational Coalition in Defense of Public Education emerged in the context of the end of Cold War labor politics and the signing of NAFTA in 1994. It has become an enduring network of established and dissident teachers’ unions and movements in Mexico, Canada, and the United States. This article assesses how the Trinational has confronted critical issues for labor internationalism. These include navigating national and international union tensions, facilitating grassroots cross-border radical unionist networks, horizontal power relations in North-South alliances, moving beyond rhetorical declarations to practical action, and the long-term sustainability of international solidarity.
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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 | 0.017 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.023 |
| Scholarly communication | 0.017 | 0.008 |
| Open science | 0.001 | 0.020 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".