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Record W2738114144 · doi:10.1177/1367549417708434

Happily ever after? ‘Successful ageing’ and the heterosexual imaginary

2017· article· en· W2738114144 on OpenAlexaff
Barbara Marshall

Bibliographic record

VenueEuropean Journal of Cultural Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsTrent University
Fundersnot available
KeywordsGender studiesHeteronormativitySociologyQueerNormativeQueer theoryRhetoricVisionHeterosexualityAestheticsHuman sexualityPolitical scienceLaw

Abstract

fetched live from OpenAlex

‘Successful ageing’ has been a controversial concept in cultural gerontology, prompting critiques of its inherent individualism, neglect of structural inequalities and promotion of neoliberal strategies of self-care. This article aims at developing the critique of its heteronormative underpinnings. Drawing on cultural gerontology, feminist theory and queer theory, a critique of the rhetoric and visual representation of ‘successful ageing’ is developed that demonstrates the extent to which ‘success’ is equated with enactments of normative, gendered heterosexuality. The intent is not to simply map the exclusion or marginalization of queer representations but to make visible the ways in which assumptions of heterosexuality organize the visual field of ‘successful ageing’. Using examples from ‘lifestyle’ magazines and health promotion materials aimed at mid-to-later life adults, I demonstrate how the promise of ‘heterohappiness’ shapes visions of anticipatory ageing. This article forms part of ‘Media and the Ageing Body’ Special Issue.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.008
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.029
Scholarly communication0.0080.010
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.351
Teacher spread0.287 · 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

Citations55
Published2017
Admission routes1
Has abstractyes

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