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
Abstract Five million Mexican-born farm workers are employed on North American farms sometime during a typical year, including 50,000 in Canada, 3 million in Mexico, and 2 million in the United States. Almost all of these workers were raised in poverty in rural Mexico. Mexican farm workers who are employed on American and Canadian farms earn at least ten times more than they would earn in Mexico, whether they are guest workers, legal immigrants or naturalized citizens, or unauthorized workers. Mexican farm workers are also employed in Mexico on farms in the northern and central states that export fruits and vegetables to the United States; this group of workers includes internal migrants from Mexico’s poorer southern states. This book explores the impacts of Mexican migrant workers in Canada, Mexico, and the United States, the alternatives to farm workers in particular commodities, and policies to improve protections for farm workers. Mexican braceros, or guest workers, were significant in the 1950s, and this book explores the similarities and differences between the braceros of the past and the migrant farm workers in Canada, Mexico, and the United States today.
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 | 0.000 | 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 | 0.000 | 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) | 0.007 | 0.002 |
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