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Record W4386031622 · doi:10.1080/19361653.2023.2248984

Disrupting racism– young ethnic queers in white queer Aotearoa New Zealand

2023· article· en· W4386031622 on OpenAlexaff
Camille Nakhid, Zina Abu Ali, Minghan Fu, Lourdes Vano, Caryn Yachinta, Makanaka Tuwe

Bibliographic record

VenueJournal of LGBT Youth · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsWomen's and Gender Studies et Recherches FéministesYork University
Fundersnot available
KeywordsAotearoaQueerGender studiesEthnic groupSociologyLesbianRacismRacializationWhite (mutation)AnthropologyRace (biology)

Abstract

fetched live from OpenAlex

Queer ethnic young people in Aotearoa New Zealand are a multi-marginalized group, many of whom are met with racism and exclusion from a predominantly white queer community. Very little is known about how young ethnic queers in Aotearoa navigate a community that inheres the ideals and structures of racism. This in-depth qualitative study of 43 queer ethnic young people living in two of the largest metropolitan cities in Aotearoa investigates their experiences and relationships with the white queer community through Persadie and Narain’s mash-up analytical process. For these young ethnic queers, disrupting the racist behaviors and practices within queer spaces and of white queers were crucial in helping them challenge, resist, speak up to and reflect on their experiences with white saviourism, objectification, patronization, and rejection.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.070
GPT teacher head0.393
Teacher spread0.322 · 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
Published2023
Admission routes1
Has abstractyes

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