REORGANIZATION OF TEMPORARY TRANSNATIONAL WORK IN TIMES OF GOBAL PANDEMIC. THE IMPACT ON THE HEALTH OF MEXICAN WORKERS IN THE UNITED STATES AND CANADA
Bibliographic record
Abstract
The global pandemic of COVID-19 has upended a key pillar of global capitalism: the organization of work.This pandemic context made it necessary for the so-called "essential work" to require a theoretical and political debate.This article is developed from the argument that the public health crisis brought with it a labor crisis and an expansion of tensions between the reproduction of social life and the reproduction of labor exploitation relations.With this, not only is transnational labor tension transferred to the temporary employment market, but it also implies the reorganization of agricultural work in temporary programs (American and Canadian), reproducing class, gender, ethnicity, and generation inequalities in localities of origin and of settlement.andgender-The impacts of COVID-19 on the reorganization processes of temporary transnational work, its labor tensions and implications for the health of Mexican day laborers, men and women, who migrate to the United States and Canada.Using a mixed methodology, the multiple effects of COVID-19 on the experiences of male and female workers were examined.The statistics of the institutions of the three countries (Mexico, USA and Canada) were also analyzed to explore the sociodemographic profile of migrants.The results show that, between 2020 and 2022, precarious working and health conditions of migrants persisted.Their situation of structural vulnerability and the prevailing gender inequality was more evident.BesidesofThe potential risks of contracting coronavirus were high as workers were permanently exposed by living in overcrowded housing, crowded transportation to farm fields, not having sufficient handwashing facilities, and not having full social security.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".