The Canadian ‘War of the Two Sugars’: Homegrown Sugar Beets and the Racial Stratification of Labour
Bibliographic record
Abstract
Abstract This paper provides a history of more than a century of efforts to establish and maintain a homegrown Canadian sugar supply – a twentieth-century version of what Eric Williams called the ‘war of the two sugars’, or the global competition between sugar beet and cane. To resolve beet sugar’s so-called ‘labour problem’, the industry has collaborated with the Canadian state to produce new classes of temporary workers, mobilising incarcerated Japanese Canadians, migrant Indigenous families, and Mexican and Caribbean workers employed through the Seasonal Agricultural Worker Program. At the same time, the sugar industry has sought to refine itself of the racialised workers upon whom it relies by promoting the figure of the white Canadian worker. The Canadian ‘war of the two sugars’ has been fought through the stratification of the labour force along the lines of citizenship, resulting in the production of unique racial forms.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".