MULTICULTURAL EDUCATION IN CANADA AND THE CASE OF THE PORTUGUESE AND BRAZILIAN COMMUNITIES
Bibliographic record
Abstract
Abstract: This article has been produced on the results of an academic research developed from December 2013 to December 2014 among the Portuguese and the Brazilian communities living in Calgary, Canada. As Associate Professor (visiting scholar, as well as post-doc fellow) in the Werklund School of Education, University of Calgary, Calgary, Alberta, Canada, under a scholarship received from the Government of Brazil, Ministry of Education â?? CAPES, it has been possible to develop a theoretical study on culture, multiculturalism and diversity so to discuss the importance of a Portuguese school striving to resist a full assimilation by the Anglophonic world around it. The empirical investigation has been made by an ethnological approach, through a participant observational research and the application of written questionnaires distributed to randomly assorted members of the Portuguese and the Brazilian communities living in Calgary, in a total of 64 interviews conducted (20 Brazilian and 44 Portuguese). This study has been approved by the University of Calgaryâ??s Conjoint Faculties Research Ethics Board in August 20, 2014. Ethics ID: REB14-1237. Keywords: multiculturalism, education and diversity, Portuguese and Brazilian studies.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.041 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| 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".