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Record W2758024898 · doi:10.1177/1363460717713383

In search of queer spaces in Tehran: Heterotopias, power geometries and bodily orientations in queer Iranian men’s lives

2017· article· en· W2758024898 on OpenAlexaff
Jón Ingvar Kjaran, Wayne Martino

Bibliographic record

VenueSexualities · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsWestern University
Fundersnot available
KeywordsQueerGender studiesSociologyNarrativeIslamPower (physics)Queer theoryEthnographySubject (documents)SocialityPerspective (graphical)HistoryAnthropologyArtLiteratureVisual arts

Abstract

fetched live from OpenAlex

This article is based on an ethnographic study that provides insights into queer Iranian men’s lives in Iran, and specifically in Tehran. It was conceived in response to concerns about accounts provided by gay internationalist framings of the queer Iranian subject as reducible to a meta-narrative of homophobic persecution at the hands of an Islamic repressive state. By employing Foucauldian analytic frameworks that attend to questions of heterotopic spatiality in conjunction with Massey’s notion of power geometries and Ahmed’s queer phenomenological perspective, we illuminate the complexity of queer Iranian men’s spatio-temporal modes of sociality and practices of doing sex. We draw primarily on interviews with eight gay- identifying men as vital sources of data that speak to the terms of the livability of a queer life under repressive conditions of Islamic jurisprudential governance in Iran.

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)0.002
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 score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.020
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.371
Teacher spread0.327 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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