Intersecting violence: Representations of Somali youth in the Canadian press
Bibliographic record
Abstract
This article examines the press coverage accorded to Canadian youth of Somali origin in the Canadian press using two methodological procedures. Charting the representational clusters that cohere around Canadian Black male youth of Somali heritage reveals the circulation of stereotypical tropes that are mostly circumscribed within the framework of crime, terrorism, and violence, reflecting the intersection of stereotypes commonly ascribed to Muslims and to Black males. In the case of the Canadian Somali youth, this representation encompasses major narratives such as ‘radicalization and terror’, ‘immigration and belonging’, ‘surveillance and safety’, and ‘gang violence’ and, to a lesser extent, positive stories. To corroborate the first level of analysis, the computational analyses reveal four main topics and associations that are similar to the above findings, providing insight into the way Canadian Somali youth, especially men, are facing different challenges in their lived experiences in Canada.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.012 |
| Science and technology studies | 0.024 | 0.011 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".