Negociações identitárias dos luso-descendentes no Canadá através do futebol português e do hóquei no gelo canadiano Identity negotiations of luso-descendants in Canada through Portuguese football and Canadian ice hockey
Bibliographic record
Abstract
O presente artigo analisa os modos como os descendentes de imigrantes portugueses no Canadá, tendo crescido neste país mas sob a influência das suas raízes portuguesas, concebem, formulam e negociam as suas identidades por meio dos desportos favoritos dos dois países a que estão ligados - o futebol, no caso de Portugal; o hóquei no gelo, no caso do Canadá. As conclusões apresentadas baseiam-se em dados empíricos recolhidos mediante entrevistas semiestruturadas e conversas informais com luso-descendentes durante um período de trabalho de campo que decorreu entre 2 de outubro e 5 de novembro de 2009 nas cidades canadianas de Toronto, Otava-Gatineau e Montreal. This paper examines the ways descendants of Portuguese immigrants in Canada, raised under the shroud of their Portugal ancestry, contemplate, formulate and negotiate their identities via the two primary sporting pastimes of the two countries: soccer, in the case of Portugal; ice hockey, in the case of Canada. The findings presented in this article are based on empirical data collected through semis-structured interviews and casual conversations with Portuguese-Canadian descendants during a fieldwork period that took place from October 2nd to November 5th of 2009 in the Canadian cities of Toronto, Ottawa-Gatineau and Montreal.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.009 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".