The struggle and (im)possibilities of decolonizing Latin American citizenship practices and politics in Toronto
Bibliographic record
Abstract
This paper explores the tensions racialized migrants negotiate when politically organizing and enacting citizenship within the context of the Canadian white settler state. I focus on the experiences of Latin Americans in Toronto and the politics surrounding a cultural celebration – Hispanic Heritage Month. While some Latin Americans sought to use this event to gain recognition and assert their belonging to Canadian society, others opposed its naming, objectives and organization, and opted to create an alternative celebration – the Latin-America History Collective’s Día de la Verdad/Day of Truth Rally. I demonstrate that the narratives and practices mobilized around Hispanic Heritage Month and Latin-America History Collective’s Rally reveal how different forms of migrant political organizing can internalize, reproduce and contest white settler colonial social relations. Overall, this paper aims to contribute to and complicate debates on the fraught nature of racialized migrants’ citizenship, politics and identity formation in Canada, by emphasizing the vast heterogeneity of Latin American communities and decolonizing possibilities.
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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 | 0.000 | 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 | 0.001 |
| 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".