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
The Canadian government co-manages the Seasonal Agricultural Worker Program (SAWP) with the governments of Mexico and 11 Caribbean countries. The program brings in over 45,000 people to work on farms and in greenhouses across Canada on a temporary basis. According to a review of the literature, workers’ experiences under the SAWP are mainly characterized by poor living and working conditions, discrimination, and abuse (Binford, 2019; Choudry & Thomas, 2013; Strauss & McGrath, 2017). Using the province of British Columbia (BC) as a case example, this paper explores the lived experiences of Mexican seasonal agricultural workers in BC. In-depth interview data were collected and analyzed from six workers who were recruited using quota and snowball sampling techniques. The findings indicate that workers’ experiences have complex and intersecting political and racialized dimensions. Implications for policy and program changes are discussed.
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) | 0.001 | 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