Labor geographies of socially embedded work: The multi scalar resistance of Mexican teachers
Bibliographic record
Abstract
Public sector workers experience particular challenges from the state when they organize and take collective action. Accountable to administrators as well as parents, teachers are embedded within complex power relations at scales from the classroom to the district and the state or nation. This article draws on labor geography’s understandings of how worker agency is socially situated, to explore how the capacities for protest of dissident elementary and secondary teachers in Mexico City have been limited. These obstacles are found within their workplaces governed by the local Secretary of Public Education, in broader political dynamics within the city and in a centralization of governance over education policy to the national level. As a result, between 2013 and 2016 , teachers here were less likely to join protests against policies initiated by President Enrique Peña Nieto that were widely deemed harmful to their professional autonomy, and which drew strong resistance in other regions of the country. This article concludes by briefly assessing how, as Peña Nieto’s term concluded, dissident teachers turned towards the national election and an equivocal relationship with the center-left Morena party.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".