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4. Queer Snapshots

2025· article· en· W4412990790 on OpenAlexaff
Jenna Dobbelsteyn

Bibliographic record

Venue(Un)Disturbed A Journal of Feminist Voices · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicPoetry Analysis and Criticism
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsQueerComputer scienceSociologyGender studies

Abstract

fetched live from OpenAlex

The events and experiences of the past will always impact the way we imagine a future, and when it comes to the allowance of queer perspectives, there is tendency to view the past as a place of confinement, rigidity, limitation, and pain, the present as a place of action, strength, and resistance, and the future as a place of openness, possibility, and triumph. In truth, confinement, rigidity, limitation, pain, action, strength, resistance, openness, possibility, and triumph have been the cornerstones of queer reality at every stage and every age. "Queer Snapshots" is a series of three poems that not only challenges the format and subject matter of poetry, but queers the notion of past, present, and future. The content of each poem will question the notions of the age it represents, but the form will be true to the stereotypes of each era. In the poem of the past, the form will be strict in rhythm, metre, and rhyme. The form of the poem of the present will be experimental and active, while the poem of the future will have an open and free-flowing form. Though one poem will broadly represent the past, one the present, and one the future, each will contain an interweaving of speculation, positive and negative realities, hope, and the beauty that has always been, and always will be, the queer perspective.

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)0.008
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 score0.031
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0090.011
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0310.004

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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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