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Record W2159906423 · doi:10.5539/ass.v11n22p76

Images and Representations of Menopause in a Malaysian Woman Magazine: An Analysis of MIDI

2015· article· en· W2159906423 on OpenAlexvenueno aff
Nerawi Sedu, Nurazzura Mohamad Diah

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTabooMenopauseMIDIThematic analysisMass mediaMalayReading (process)PsychologyAdvertisingSociologyMedicineLinguisticsComputer scienceSocial scienceQualitative research

Abstract

fetched live from OpenAlex

Magazine is one of the main sources of information on health-related issues, including menopause. Due to its format and writing style, a magazine can be regarded as an easy reading. Considered to be a taboo or non-spoken topic in some societies, menopause does not receive similar amount of coverage by the magazines as compared to business, education, beauty and fashion. In other words, it is regarded as less important women issues. The study aims to analyse the images or representations of menopause in a woman magazine. Compared to other studies on the portrayals of women and women-related issues in the mass media, this study only focuses on depictions of menopause in MIDI. The magazine is a fortnightly Malay language publication specifically targeted at female readers aged forty and above. The data for this study were gathered for several months in years 2006, 2007, 2008, and 2009. The articles from MIDI were analysed using thematic analysis, focusing on the concepts or expressions or phrases used by the magazine to depict the concept of menopause. The findings of the study highlighted some of the common images and representations of menopause in MIDI.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.360
Teacher spread0.326 · 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 designObservational
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

Citations1
Published2015
Admission routes1
Has abstractyes

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