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Record W4250459547 · doi:10.32920/ryerson.14664366

The forgotten women: an exploratory study of baby boomers’ attitudes towards fashion magazines

2021· preprint· en· W4250459547 on OpenAlexaff
Danielle Des Rosiers

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsLakehead UniversityToronto Metropolitan University
Fundersnot available
KeywordsBaby boomersExploratory researchPerceptionDiversity (politics)PsychologyOrder (exchange)Reading (process)Gender studiesHuman sexualityAdvertisingSociologyPolitical scienceSocial scienceBusiness

Abstract

fetched live from OpenAlex

An exploratory study of female baby boomers’ perceptions of fashion magazines was conducted using in depth interviews. This research acknowledges that fashion tends to focus on a youthful demographic, and fashion assumes this older demographic will conform to the youthful ideals that are displayed. Fashion magazines are therefore faced with the challenge of how to attract older female readers while still portraying a fashionable image. By taking a qualitative approach that focuses on verbal descriptions and human emotion, this research will help explain the perceptions and attitudes felt by female baby boomers. Participants indicated diversity, going green, embracing sexuality, clothedness, and body size, influenced their reading of fashion magazines. This research advances knowledge by revealing the central themes that influence baby boomer women’s responses to fashion magazines. It advises fashion editors to re-consider their current casting and editorial practices in order to attract baby boomer women.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.997

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 communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.071
GPT teacher head0.282
Teacher spread0.210 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

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