Understanding the Role of the State in Promoting Capitalist Accumulation: A Case Study of the Canadian Seasonal Agricultural Worker Program
Bibliographic record
Abstract
There is limited in-depth research focusing on how the state exerts power and its influence through immigration laws, policies and practices in structuring the relations of labour and capital in a manner that reflects capitalist interests. Therefore, the purpose of this paper is to explore the role of the state in fostering capitalist accumulation, using the Seasonal Agricultural Worker Program (SAWP) as a case study, and to consider the implications for policy. This paper addresses these questions: What shapes and reproduces labour-capital relations with reference to SAWP? What are the repercussions of these relations, particularly on the international migrant workers? What should be the role of the state and law in transforming these relations? The paper draws on a constellation of insights from neoliberal globalization, segmentation of labour theory, and a conceptual overview of the role of the state in regulating labour-capital relations to illuminate the discussions. This paper helps broaden our current understanding of how the state faciliates capitalist accumulation in the agricultural sector in Canada through immigration policies and practices with reference to the SAWP. The paper therefore makes a contribution to the theoretical debates on the role of the state in the facilitation of capitalist accumulation in agriculture.
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.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.007 |
| Scholarly communication | 0.003 | 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".