From All American Girl to Fresh Off the Boat: Exploring the Relationship Between Media Representations and Identity Formation
Bibliographic record
Abstract
When ethnic and racial groups are absent from Hollywood narratives, the subtext is they don't matter.This thesis explores how diverse images of Asian Americans and Canadians in media are decoded for meaning and the impact of this process on one's identity.Employing a qualitative methodology, this thesis supports the idea that the media play a significant and influential role in identity development.The findings suggest that young adults: (1) rely on stereotypes to make sense of Asian American and Canadian representations in media; (2) downplay the influence of media by separating racial ideology from media production, content, and consumption; and (3) struggle to understand their ethnic, racial, and national identity in the context of Canadian multiculturalism.This thesis contributes to scholarship on race, media, and Asian identity by linking significant changes in the culture industries, like the recent move towards diversity, to the study of media effects among Asian Canadians and by expanding the relationship between multicultural discourse and Asian Canadian identity.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".