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Record W2952921543 · doi:10.22215/etd/2018-12674

From All American Girl to Fresh Off the Boat: Exploring the Relationship Between Media Representations and Identity Formation

2018· dissertation· en· W2952921543 on OpenAlexaffabout
Pamela Lim

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsMulticulturalismGender studiesIdentity (music)ScholarshipSociologyNarrativeContext (archaeology)Ethnic groupIdeologyMainstreamPolitical scienceAestheticsAnthropologyPoliticsGeographyArtLiterature

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.007
Scholarly communication0.0070.004
Open science0.0010.005
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.136
GPT teacher head0.405
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes2
Has abstractyes

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Same topicAsian Culture and Media StudiesFrench-language works237,207