Towards an emotional geoeconomics? Masculinity and emotions among Mexican and Guatemalan temporary agricultural workers in Quebec
Bibliographic record
Abstract
Abstract This article explores the emotional geographies underpinning the experiences of temporary agricultural workers who migrate yearly to fields of labour in Canada. The research is based on a transnational qualitative study in Quebec, Mexico, and Guatemala. To provide a theoretical framework for this article, we bring the concepts of geoeconomics and geographies of emotion into conversation. We then briefly present the history and evolution of temporary agricultural work, highlighting its deeply racialized and gendered nature. We argue that the mobilization and interiorization of a particular form of masculinity and emotional expression are central to both the exploitation of workers and their acceptance of their working conditions. These forms of masculinity and emotional expression are tightly bound to the workers’ role as household providers. Workers demonstrate satisfaction and pride in fulfilling their roles while negotiating an ongoing fear of job loss if they do not comply with work expectations. We argue that this represents a new form of subaltern masculinity that underpins Canadian geoeconomic strategy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".