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
From its inception in 1966, the Canadian Seasonal Agricultural Worker Program (SAWP) has grown to employ approximately 20,000 workers annually, the majority from Mexico. The program has been hailed as a model that alleviates human rights concerns because, under contract, SAWP workers travel legally, receive health benefits, contribute to pensions, are represented by Canadian consular officials, and rate the program favorably. Tomorrow We're All Going to the Harvest takes us behind the ideology and examines the daily lives of SAWP workers from Tlaxcala, Mexico (one of the leading sending states), observing the great personal and family price paid in order to experience a temporary rise in a standard of living. The book also observes the disparities of a gutted Mexican countryside versus the flourishing agriculture in Canada, where farm labor demand remains high. Drawn from extensive surveys and nearly two hundred interviews, ethnographic work in Ontario (destination of over 77 percent of migrants in the author's sample), and quantitative data, this is much more than a case study; it situates the Tlaxcala-Canada exchange within the broader issues of migration, economics, and cultural currents. Bringing to light the historical genesis of "complementary" labor markets and the contradictory positioning of Mexican government representatives, Leigh Binford also explores the language barriers and nonexistent worker networks in Canada, as well as the physical realities of the work itself, making this book a complete portrait of a provocative segment of migrant labor.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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