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Heteronormativity

2017· other· en· W4239049785 on OpenAlexaff
Linda Peake

Bibliographic record

VenueInternational Encyclopedia of Geography · 2017
Typeother
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsHeteronormativityHuman sexualityGender studiesQueerHeterosexualitySociologySpace (punctuation)LesbianEmbodied cognitionQueer theoryEpistemology

Abstract

fetched live from OpenAlex

Heteronormativity, the ubiquitously held belief that heterosexuality is natural, and thus normal, is a useful concept for investigating embodied sociospatial configurations of gender, sex, and sexuality. It has been introduced into the study of geography by both feminist and queer geographers who have shown how space becomes heterosexualized (or not) through analyses of gendered, racialized, and sexualized practices, encounters, and relations in specific sites and locales. Over time, geographers of sexuality and space have moved from their initial exploration of those identities that fall outside of heteronormativity, such as those of gays and lesbians and those designated queer, to exploring the range of desires and bodies that are considered heteronormative. Since the mid‐1990s, research on heternormativity has most commonly taken place in social and cultural geography, although it has implications for all subfields of human geography.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.039
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.003

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 head0.015
GPT teacher head0.340
Teacher spread0.325 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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