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Record W4283450643 · doi:10.36510/learnland.v15i1.1072

Trans Young Adults’ Building Communities: Narratives and Counternarratives of Identity and World Making

2022· article· en· W4283450643 on OpenAlexafffundvenue
Michelle Lavoie

Bibliographic record

VenueLEARNing Landscapes · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsAbleismNarrativeIntersectionalityGender studiesIdentity (music)SociologyPerformativityCitizenshipTransgenderIdentity formationNarrative inquiryAestheticsSelf-conceptSocial sciencePoliticsPolitical scienceArt

Abstract

fetched live from OpenAlex

This paper draws on a three-year inquiry, in which I lived alongside three trans young adults amid their unfolding lives. I used narrative inquiry, a relational methodology that holds relationship central, to explore asset-building processes within relational learning. This article showcases participants’ use of artworks, stories, and counterstories to understand experiences and engage communities. Additionally, this study highlights how trans young adults transform their identities at the intersections of race, citizenship, ableism, and health. This research demonstrates the complexity of trans: identity formation; intersectional tensions, and creative possibilities; and, performativity of intersectionality and identities across multiple communities’ spaces and places.

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)0.008
metaresearch head score (Gemma)0.011
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 score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0130.013
Scholarly communication0.0090.009
Open science0.0010.013
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.224
GPT teacher head0.525
Teacher spread0.301 · 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 routes3
Has abstractyes

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