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Record W3113266414 · doi:10.5817/bse2020-2-10

Rooted cosmopolitan identity and internalized homophobia in Farzana Doctor's Stealing Nasreen

2020· article· en· W3113266414 on OpenAlexaboutno aff
Shobana Jeyasingam, Manimangai Mani, Rosli Talif, Mohammad Ewan Awang

Bibliographic record

VenueBrno Studies in English · 2020
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsHeteronormativityIdentity (music)SociologyGender studiesSocial psychologyQueerPsychologyAestheticsArt

Abstract

fetched live from OpenAlex

Rooted cosmopolitanism is a concept espoused by renowned philosopher Kwame Anthony Appiah that proposes individuals adhere to two inter-related strands to construct a rooted cosmopolitan identity.The first strand advocates that one puts faith in the equal acceptance and fair treatment of all people regardless of race, gender, or affiliation while the second strand denotes that one should stay rooted in one's own culture and familial values.As a marginalized community, the LGBTQ face various struggles which jeopardize their ability to construct a rooted cosmopolitan identity.Thus, Farzana Doctor's Stealing Nasreen will be examined to discover how an Indian migrant character struggles to construct a rooted cosmopolitan identity in her new home country, Canada, as a result of having internalized homophobia.Internalized homophobia is developed when societal stigma, family values and upbringing that demoralize the LGBTQ are redirected internally resulting in insidious inner conflicts.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.013
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.145
GPT teacher head0.443
Teacher spread0.298 · 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 designNot applicable
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
Published2020
Admission routes1
Has abstractyes

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