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Record W7042641891

Queer Play, Failure, and Becoming: Investigating Queer Young Adults’ Memories of Play and Exploring Gender and Sexuality in Child and Youthhood

2022· dissertation· en· W7042641891 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2022
Typedissertation
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQueerHuman sexualityPrideThematic analysisNarrativeLesbianInterpretative phenomenological analysisHeteronormativity
DOInot available

Abstract

fetched live from OpenAlex

This study investigated (1) how and where queer young adults remembered playing and exploring gender and sexuality in their child and youthhoods, and (2) how those memories influenced their identities as queer young adults. Eight young adults from Southern Vancouver Island were recruited to the study using non-probability and purposive sampling. Each participant took part in a narrative interview and was asked to recreate in a sand tray one or more places where they remembered exploring gender and/or sexuality in their childhood or youthhood. Data were analyzed using thematic analysis through a queer phenomenological lens inspired by Sara Ahmed. It was determined that “queer failure,” as described by Jack Halberstam, was a critical, formative process that contributed to the reorienting of queer children and youth towards queer futures. The way that queer failure was responded to by significant adults appeared to have enduring impacts on participants’ self-esteem and self-regard, with having a supportive caregiver being associated with positive self-regard as a queer adult, and a lack of support associated with long-term poor mental health and lower likelihood of experiencing pride in being queer. Additionally, participants demonstrated how access to the outdoors provided a meaningful locus of self-discovery wherein the limitations and structures of gender were less omnipresent and they felt more external and internal acceptance of their queer identities.

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)0.004
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 score0.062
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.336
Teacher spread0.272 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

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