Migrant farmworkers: Resisting and organising before, during and after COVID‐19
Bibliographic record
Abstract
Abstract Migrant farmworkers are a ubiquitous but invisibilised, expropriated and exploited component of the global agricultural economy. Their conditions took centre‐stage during the COVID‐19 pandemic. Fear of production disruption in the migrant labour‐intensive sectors led to foreign workers being deemed ‘essential’ in many countries, and exceptional procedures and regulations were instituted that further increased their exploitation, illnesses and deaths. However, the pandemic has not merely exposed the long‐established structures of racialised exploitation and expropriation in the domain of farm work. Although it exacerbated the precariousness of the living and working conditions defining the reality of migrant farm workers, there is evidence that the pandemic also strengthened farmworkers' individual and collective consciousness, along with forms of organisation and resistance. The symposium ‘Migrant Farmworkers: Resisting and Organizing before, during and after COVID‐19’ explores two dimensions reflected in migrant farmworkers' realities during the pandemic. First, the contributions look at the general conditions defining power structures and material outcomes within the political economy of agriculture before and during the pandemic. Second, they explore the conditions under which resistance and solidarity emerged to question established structures of exploitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".