The Bunk House Rules: Housing Migrant Labour in Ontario Adrian Smith, “The Bunk House Rules: Housing Migrant Labour in Ontario ” (Forthcoming,
Bibliographic record
Abstract
The paper tackles the recent controversy surrounding an application to convert an abandoned school into housing for migrant agricultural workers in Ontario, Canada. It examines how the written reactions of community residents to a proposed municipal zoning by-law amendment convey and invoke understandings of the legal regulation of temporary labour migration. When viewed through a legal consciousness analytic lens, reconstituted to attend to the material practices and context underpinning residents’ discursive and ideological responses, what I term a ‘materialist legal consciousness studies’, it is evident that the residents ’ submissions intervene in the organization and regulation of agricultural production. While framed in opposition to the proposed amendment and the rules on siting bunk houses, residents ’ responses-- which rehearse well-worn, racist colonial tropes-- (re)produce material outcomes affecting the working and social lives of migrant agricultural workers in southwestern Ontario. I argue that residents ’ overwhelming opposition to the bunk house proposal re-inscribes and even extends the unfree labour relations and conditions in which these workers toil and dwell.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.027 | 0.013 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".