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Record W2624726111

Guilt, Shame and Model Minorities: How South Asian Youth in Toronto Navigate the Canadian Educational System

2011· dissertation· en· W2624726111 on OpenAlexaboutno aff
Sangeetha Navaratnam

Bibliographic record

VenueTSpace (University of Toronto) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsnot available
Fundersnot available
KeywordsShameDisadvantageModel minorityFace (sociological concept)South asiaPsychologyPedagogyPolitical scienceGender studiesSocial psychologySociologyAsian americansEthnic groupSocial science
DOInot available

Abstract

fetched live from OpenAlex

The present study examines issues that South Asian youth face as members of a model minority group. Using 14 semi-structured interviews, South Asian youth (aged 18-26) discussed issues they encountered as they navigated educational institutions in Canada. The study found that participants were not aware of the term model minority. Furthermore, participants received input, either directly or indirectly, from family and community members regarding their career choices. Lastly, participants experienced guilt and shame during decision-making processes, but ultimately chose their own path with [eventual] acceptance from parents. Results indicate that schools in the GTA are not attuned to the needs of South Asian students which often left students at a disadvantage when making future career and educational choices. There is a need for educators, administrators, and policymakers to develop more specialized programs toward helping South Asian youth navigate the Canadian educational institutions.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.082
Threshold uncertainty score0.249

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.009
Scholarly communication0.0060.002
Open science0.0020.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.021
GPT teacher head0.290
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

Citations3
Published2011
Admission routes1
Has abstractyes

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Same venueTSpace (University of Toronto)Same topicCritical Race Theory in EducationFrench-language works237,207