Applying evolutionary psychology in understanding the representation of women in advertisements
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".