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Record W4241963978 · doi:10.18192/aporia.v7i4.2801

[no title]

2015· article· fr· W4241963978 on OpenAlexvenueno aff
Maurice Nagington

Bibliographic record

VenueAporia · 2015
Typearticle
Languagefr
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsnot available
FundersUniversity of Manchester
KeywordsTemporalityQueerKinshipNormativeHeterosexualitySociologyGender studiesVulnerability (computing)Identity (music)HeteronormativityHuman immunodeficiency virus (HIV)Queer theoryHomosexualityPsychologyEpistemologyAestheticsMedicineAnthropologyVirologyPhilosophy

Abstract

fetched live from OpenAlex

With the advent of effective anti-viral regimes ageing with HIV has become an increasingly common phenomenon, gay men being the largest sub-group. It has been examined from multiple academic perspectives, the most prominent of which are medical and sociological research. Within this literature HIV as well as a gay identity has been described as causing “accelerated ageing”. However, any such acceleration has always been considered to be occurring in relation to the normative standards of heterosexuality and/or an HIV negative status, leaving HIV positive gay men viewed as somehow deficient to their HIV negative heterosexual counterparts. A queer theoretical approach is adopted to explore the potential ways in which ageing with HIV as a gay man could be conceptualised beyond the ideas of heteronormative deficiencies. In particular queer theoretical readings of vulnerability, temporality and kinship are explored to provide a theoretical basis for future empirical work into this topic.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.894
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1060.034

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 head0.143
GPT teacher head0.454
Teacher spread0.311 · 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.

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

Citations2
Published2015
Admission routes1
Has abstractyes

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