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Record W2533086025 · doi:10.31542/j.muse.199

Stereotypes About Men and Masculinity in Cosmopolitan Magazine: A Content Analysis of the “Ask Him Anything” Advice Column

2015· article· en· W2533086025 on OpenAlexaffvenue
Celine Isabelle Vaillancourt

Bibliographic record

VenueMacEwan University Student eJournal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMasculinityTheme (computing)RomancePsychologyAudience measurementSocial psychologyContent analysisPower (physics)Gender studiesSociologyPsychoanalysisSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

This qualitative study explored the culture of male stereotypes in selected articles of Cosmopolitan magazine. A content analysis was conducted on the “Ask Him Anything: Love Advice From Our Guy Guru: Ky Henderson” column, which appears monthly in Cosmopolitan magazine, from January to December 2013. Twelve articles with seventy questions and answers were analyzed to find implicit and explicit statements about men and masculinity. Fifty-one statements were examined for themes, and four prominent themes emerged: (1) Men and their attitudes and behaviours towards women, (2) Sex – General attitudes and specific actions, (3) Jobs and finances, and (4) Comparisons between younger and older men. The theme of men and their attitudes and behaviors towards women held the most statements, suggesting that the readership of this magazine is expected to focus on men’s behaviours and attitudes towards them, which may put pressure on the readers to cater to these stereotyped attitudes and behaviours. Catering to presumed stereotypical attitudes and behaviours may create or reinforce unequal power structures and put strains on romantic relationships between men and women. Findings demonstrated that stereotyped statements about men and masculinity were contained within Cosmopolitan magazine. Furthermore, certain masculine traits were described as innate or biologically inherent, revealing a prevailing thought that these stereotypical traits are unchangeable in nature.

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 score0.176
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.052
GPT teacher head0.307
Teacher spread0.255 · 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

Citations0
Published2015
Admission routes2
Has abstractyes

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