Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In early stages of the global COVID-19 pandemic, the Canadian farming industry expressed panic that travel restrictions could disrupt the arrival of migrant farmworkers from the Majority World. In this Perspective essay, we consider how farm industry lobbying successfully framed delays to hiring migrant farmworkers as a threat to national food security. After demonstrating how migrant workers have long been situated in spaces of legal exceptionalism, we argue that framing migrant farmworkers as essential for the national public good of domestic food production conceals how they are also essential for private capital accumulation in agribusiness. In the haste to hire migrant workers quickly, Canadian federal and provincial governments largely failed to prevent farmworker COVID-19 outbreaks and deaths predicted by researchers and activists. We conclude by underscoring the need to fundamentally transform temporary labour migration programs in ways that uphold migrant dignity beyond exceptionalism.
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.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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 it