Urban Portraits of Identity: On the problem of knowing culture and identity in intercultural studies
Bibliographic record
Abstract
This paper draws from a larger ethnography that explores questions of culture, race and identity, against a backdrop of globalization and diaspora, among students in a Toronto High School. It constructs a series of 'portraits' of youth from their conversations with the ethnographer. These portraits highlight the fluid and slippery nature of the identities of youth as their identifications shift and as they insist upon being viewed as complex subjects. The identifications emerge as contradictory, ambivalent, imbued with tension and often surprising when, for example, Serbian identifies Spanish and Black becomes White. The challenge opened by this paper concerns not how we can come to 'know' the cultures and identities of cosmopolitan youth as stable entities but how we might engage their complexity and incoherence.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.062 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.009 |
| 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".