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Record W2015994816 · doi:10.1002/mar.20020

Applying evolutionary psychology in understanding the representation of women in advertisements

2004· article· en· W2015994816 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsychology and Marketing · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsConcordia University
Fundersnot available
KeywordsPsychologyAppealPhenomenonDarwinismRepresentation (politics)Evolutionary psychologySocial psychologyAdvertisingEpistemology

Abstract

fetched live from OpenAlex

Abstract One of the most ubiquitous creative copy decisions in advertising is to use young attractive women in decorative roles. Contrary to the mantra chanted by some staunch feminists, advertisers are not involved in a patriarchal white‐male‐dominated conspiracy to derogate, exploit, subjugate, and dominate women. Advertisers are concerned with providing messages that are maximally effective to their relevant target audience. Accordingly, they are well aware that in certain situations the use of decorative female models will appeal to a particular group of their constituency. Using evolutionary psychology as the explicative framework, it is argued that the greater use of young and attractive women in decorative roles in advertising is steeped in the differential mating strategies of the two sexes. An analysis of several content‐analytic studies demonstrates that the more frequent use of women as young and attractive decorative models is longitudinally stable and culturally invariant further attesting to the Darwinian roots of this phenomenon. © 2004 Wiley Periodicals, Inc.

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.

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 score0.075
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.057
GPT teacher head0.327
Teacher spread0.271 · 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