Urban Portraits of Identity: On the problem of knowing culture and identity in intercultural studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it