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Record W2029155534 · doi:10.1080/10894160802278374

Two Poems Genetic LotteryWork of Art

2008· article· en· W2029155534 on OpenAlexaff
Kimberly Dark

Bibliographic record

VenueJournal of Lesbian Studies · 2008
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsPoetryLesbianPerspective (graphical)BeautyAgency (philosophy)AestheticsGender studiesSociologyConstruct (python library)Social constructionismSocializationPsychologySocial psychologyArtLiteratureVisual artsSocial science

Abstract

fetched live from OpenAlex

The following poems are an autoethnographic account of body image from the perspective of a 39-year-old bountiful, White-privileged, mixed-race femme dyke. The purpose of the poetic form is to inspire emotional connection and offer analytic commentary on the social construction of body image, aging, and beauty as a social commodity, from a lesbian perspective. Together, the poems present a perspective on lesbian body image that highlights our socialization as women first. Lesbian consciousness has a role in how we construct body image outside of a primarily male gaze, but it does not supplant heteronormative feminity. The poems also show the critical social gaze as reconstructed within us and by our lovers. In addition to social influences, the poems also show the life of the individual as a site of body image activism. The agency of "I' to reconstruct interactions of body acceptance and self-love is as clear as the contexts in which those struggles take place.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.012
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.002

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 head0.131
GPT teacher head0.374
Teacher spread0.243 · 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
GenreOther

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

Citations1
Published2008
Admission routes1
Has abstractyes

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