Citizenship, Belonging, Meaning and Identity: a case study of first-generation Iranian immigrants in Vancouver
Bibliographic record
Abstract
This thesis explores what it means to be an ethnic minority and a gang member in the course of becoming a Canadian. It is based on narratives of first-generation Iranian immigrant youths who migrated to Vancouver, British Columbia, in the 1990s and created a gang called Persian Pride. The aim of this research is to explore how identities are constructed within the realms of meaning, representation and identification. It is premised on the argument that identities are social constructs, always stemming from historical and social relations of any given time and space. Here, identity is explored beyond mere personal choices; rather, it is conceptualized as a construct within relations of power and discourse, all of which had a profound impact on these young individuals’ understanding of their lives in the midst of exclusion and in their attempt to belong.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.043 | 0.008 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.002 | 0.007 |
| 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".