(Em) Bodies and Documents: Examining Information-Sharing Practices in the Seasonal Agricultural Worker Program
Bibliographic record
Abstract
This study examines information-sharing practices within the Seasonal Agricultural Worker Program (SAWP). Drawing on Foucauldian theory and critical discourse analysis (CDA), I analyze 61 documents for their content, codification of stakeholder relationships, and use of discourse. Documents were selected based on creation, use, or circulation within Ontario, and "official" status - at least one stakeholder group would look to the document for (perceived) reliable information. I argue that documents function as material actors, alongside (sometimes beyond) human actors, making physical impact on SAWP bodies and realities. Documents communicate, discipline, and uphold neoliberal structures surrounding the program; through consistent sharing of narrow, "work-related" information, and the rare inclusion of more well-rounded, "non-work" knowledge, documents subtly discipline the boundaries of acceptable/unacceptable communication. In doing so, material actors perpetuate a program which does not consider the varied, complex needs of "whole workers" (McLaughlin et. al., 2017), but treats them as disposable labouring bodies.
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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 | 0.014 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".