Bibliographic record
Abstract
This concluding chapter reflects on the significance of the legal case of the Seasonal Agricultural Worker Program (SAWP) employeess at Sidhu & Sons for expanding understandings of the meaning of deportability and its applicability to temporary migrant work program (TMWP) participants laboring not only in Canada but also in other relatively high-income host states embracing migration management and the measures it prescribes. Obstacles to limiting deportability writ large will persist so long as migration management dominates paradigmatically. Nevertheless, in combination with the forward-looking organizing efforts already being undertaken by unions and worker centers, in areas where unionization is difficult to achieve partly because of the still-dominant Wagnerian-styled model of unionization, certain modest interventions in policy and practice hold promise in forging change and curbing deportability among temporary migrant workers. Because the foregoing case study focused on the SAWP, the alternatives outlined in this chapter primarily address this TMWP. Given, however, that the SAWP is often touted as a model of migration management, they seek to provide meaningful avenues toward incremental change in other TMWPs in Canada and elsewhere.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.259 | 0.080 |
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 source (direct Gemma or distilled Codex), 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".