Bibliographic record
Abstract
Our research concerns the ethnic identity of youth (18-22yrs) of immigrant parentage (Greek, Portuguese, Chilean, Vietnamese and Salvadoran, with a comparison group of French-speaking Québécois youth) in Montreal. Despite the questioning of notions of ethnicity and ethnic identity that has been going on for several decades, this area of research is still marked by essentialist perspectives that do not coincide with the results of our research. The young people interviewed express fluid ethnic identities that have changed over time and that are characterised by multiple forms of ethnic belonging. They present their ethnic identity as a source of enrichment rather than of conflict or feelings of inferiority. The oral accounts of youth of immigrant origin in Montreal give much evidence of transnationality, that is, ties with the cultural group of origin whether in the country of origin or elsewhere; and of transethnicity, solidarities with other ethnic groups in Montreal that are seen as culturally or structurally similar. Though these two orientations would seem to be somewhat contradictory, they are, we argue, in fact compatible. Both offer numerous advantages to immigrant groups and their members, particularly in the present-day context. We examine our research results in light of contextual factors related to the Montreal milieu as well as to the age group of those interviewed. We propose that, without minimising these factors, one must question the conceptualisation of ethnic identity especially as it concerns youth of immigrant origins.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".