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Record W2489874242 · doi:10.1177/1363460716645786

Rethinking sexual citizenship: Asia-Pacific perspectives

2016· article· en· W2489874242 on OpenAlexaboutno aff
Vera Mackie

Bibliographic record

VenueSexualities · 2016
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipHuman sexualityGender studiesSociologyPoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The term ‘sexual citizenship’ was largely developed in the Anglophone capitalist liberal democracies of the UK, the USA, Canada, Australia and New Zealand. The concept is thus inflected by broader understandings of politics in these places. In this article, the author first considers the specificities of ‘sexuality’ and ‘citizenship’ in these Anglophone capitalist liberal democracies. She argues that we need to provincialize these local understandings, for configurations of sexuality and citizenship in the UK, North America, New Zealand or Australia are just as contingent and locally specific as they are in the Asia-Pacific region. She then considers whether the term ‘sexual citizenship’ can be transplanted into places in the Asia-Pacific region with different political and economic systems, welfare systems and social structures, distinctive cultural understandings of sexuality and citizenship and different taxonomies of sexes, genders and sexualities.

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)0.006
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.049
Scholarly communication0.0120.011
Open science0.0020.009
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0050.000

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 head0.073
GPT teacher head0.363
Teacher spread0.290 · 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

Citations37
Published2016
Admission routes1
Has abstractyes

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