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Record W2804129548 · doi:10.5539/res.v10n3p1

Functions and Sales Arguments in Spanish Advertising. A Study on Female Representation

2018· article· en· W2804129548 on OpenAlexvenueno aff
Silvia Vega Saldaña, Daniel Barredo Ibáñez, Carmen Lasso de la Vega, Ana Merchán-Clavellino

Bibliographic record

VenueReview of European Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsnot available
Fundersnot available
KeywordsObjectificationBeautyEmbodied cognitionShouldersRepresentation (politics)Ethnic groupPower (physics)AdvertisingPerfectionAestheticsHuman physical appearancePsychologySociologyGender studiesSocial psychologyBusinessPolitical scienceArtLawMedicinePhilosophyEpistemology

Abstract

fetched live from OpenAlex

Advertising is responsible for developing part of the contemporary imaginaries, which tend to be imposed as referential frameworks, especially for strategic groups such as those embodied by young people. In this regard, in the following article we present the results of a study in which we evaluated 1520 images published in advertisements from the main Spanish high-end women's magazines (Cosmopolitan, Elle, Glamor, Telva and Vogue). The results in these publications highlight the presence of a restrictive body type for women, which imposes canons of beauty where thinness and slenderness prevail, and to which physical qualities are associated such as white ethnicity, light eyes tonalities, dark or light hair with a length between the shoulders and the chest, a palpable youth and extreme corporal perfection. And also, a pattern that characterizes women devoid of intellectual roles and arguments to purchase and sell, which is an example of symbolic power and objectification of the female body.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.003
Scholarly communication0.0060.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.139
GPT teacher head0.427
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes1
Has abstractyes

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