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Older Women's Bodies and the Self: The Construction of Identity in Later Life*

2001· article· fr· W2045219617 on OpenAlexaff
Laura Hurd Clarke

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2001
Typearticle
Languagefr
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesIdentity (music)PrisonGender identityPsychology of selfArtPsychologySocial psychologyAesthetics

Abstract

fetched live from OpenAlex

L aura H urd C larke Cet article étudie les difficiles et souvent conflictuelles relations entre l'image de soi d'une femme âgée et son corps vieillissant. Se fondant sur les données d'entrevues semi‐structurées avec 22 femmes âgées de 61 à 92 ans, l'auteure examine l'influence de la perte de la perception de l'aspect esthétique et celle de la détérioration de la santé et des capacités fonctionnelles sur le sentiment d'identité d'une femme âgée. Elle commente aussi l'expérience du corps des femmes en tant qu'à la fois masque et prison du soi et dégage le défi de l'image réfléchie que se fait une femme de l'idée d'être jeune « de l'intérieur ». This paper explores the uneasy and often conflicted relationship between an older woman's sense of self and her aging body. Using data from semi‐structured interviews with 22 female participants aged 61 to 92 years, the paper examines the influence of the loss of perceived physical attractiveness and the deterioration of health and functional abilities on an older woman's sense of identity. The paper discusses the women's experience of the body as both mask and prison of the self and elucidates the challenge of the reflected image to a woman's sense of being youthful on the “inside.”

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)0.003
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 score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.007
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.043
GPT teacher head0.334
Teacher spread0.291 · 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

Citations95
Published2001
Admission routes1
Has abstractyes

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Same venueCanadian Review of Sociology/Revue canadienne de sociologieSame topicAging and Gerontology ResearchFrench-language works237,207