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Record W3089951156 · doi:10.1017/s0144686x20001129

Older women using women's magazines: the construction of knowledgeable selves

2020· article· en· W3089951156 on OpenAlexaffabout
Dana Sawchuk, Mina Ly

Bibliographic record

VenueAgeing and Society · 2020
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsPopularityVariety (cybernetics)Context (archaeology)EntertainmentGender studiesSubject (documents)SociologyValue (mathematics)PsychologyMedia studiesSocial psychologyHistoryVisual artsArtComputer scienceLibrary science

Abstract

fetched live from OpenAlex

Abstract Women's magazines are widely read in Canada. The popularity of such magazines is significant because critical gerontologists, primarily drawing on content analyses of the magazines, often argue that these publications convey problematic messages about ageing. This article broaches the subject of women's magazines and ageing from a different vantage point, that of the older woman reader herself. This audience-centred research draws on 21 semi-structured interviews with Canadian women over the age of 55. The study examines what older women say about the ageing-related content of women's magazines, along with what they say about how, when and why they read these magazines. Findings illustrate that participants are aware of the inadequate and unrealistic representations of older women in women's magazines. Nonetheless, they value the publications as a source of practical information on a variety of topics and as a light and undemanding source of entertainment and relaxation. The study reveals how participants assess and deploy magazine contents and characteristics in ways that contribute to, and are informed by, their lives and identities as older women. Against the broader cultural context of ageism, using and talking about women's magazines enables the participants to position themselves as knowledgeable and informed on a variety of topics and in multiple interactions, both in explicit reference to the magazines themselves and more generally in their lives.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.027
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.319
Teacher spread0.282 · 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 teacher head, 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

Citations2
Published2020
Admission routes2
Has abstractyes

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