What's in a Name? Shifting Identities of Traditional Organized Crime in Canada in the Transnational Fight against the Calabrian ‘Ndrangheta
Bibliographic record
Abstract
The Italian antimafia authorities have warned Canadian law enforcement about the risks and the growing concerns for the infiltration of clans of the Calabrian mafia, known as ‘ndrangheta, in Eastern Canada. 3 The alarm linked to the rise of the ‘ndrangheta challenges the paradigms of traditional organized crime in Canada, because the ‘ndrangheta is presented as traditional but also innovative and more pervasive than other mafia-type groups. Through access to confidential investigations and interviews of key specialist law enforcement teams in Toronto and Montreal, this article investigates today's institutional perception of mafia – the ‘ndrangheta in particular – in Canada when compared to Italian conceptualizations. I will argue that the changes in narratives in Canada can be read in relation to changes in the Italian identity in the country, moving towards regionalization and specialist knowledge of ethnic differences.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.035 | 0.028 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".