Pleading with Our Paesan: An Urgent Call to Re-structure Italian-Canadian Allegiance to White Supremacy
Bibliographic record
Abstract
This thesis calls on White Italian-Canadians to recognize and re-structure their allegiance to White supremacy. It will draw from Critical Anti-Racist Theory (Dei Lordan 2013; Omi Winant 2002), Italian-Canadian Studies (Alba, 1985; Dickie, 1996; Guglielmo Salerno, 2003) and Critical Whiteness Studies (Morrison, 1992; Dyer, 1997; Frankenbergs, 1993). I will interrogate Italian-Canadian Whiteness and demonstrate the ways in which it has been mediated by varied socio-historical conditions across space and time. By documenting the work of grassroots organization Italian-Canadians for Black Lives (IC4BL), I will demonstrate how White Italian-Canadians are responding to calls for allyship/solidarity against White supremacy in Vaughan, Ontario. I develop these analyses in order to explore the opportunities and challenges presented in anti-racism activism organized around an Italian-Canadian cultural affiliation. I hope that this research can be utilized towards more meaningful relationships of solidarity, which take our responsibilities as citizens, (im)migrants and settlers seriously.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.048 | 0.021 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".