Translators and Advertisers as an Accomplice in the Objectification of Women in Advertising
Bibliographic record
Abstract
The study was carried out to find out whether women are objectified in the source language (English) verbally and non-verbally, and evaluate and assess the advertisers and translators’ role in objectification of women in the target language (Turkish). To evaluate the objectification of women in the source and the target languages scientifically, the researcher developed a scale consisting of 16 items, which analyse any advertisement in terms of verbal and non-verbal objectification. To ensure reliability and validity, four experts’ opinion as to the items of the scale was resorted and statistical analysis was carried out before it was applied to. Magnum ice cream, Toyota, Efes Zilli Sally & Delikanlı Harry, Game of Sultans and L`Oréal Paris skin cream commercials were analysed verbally and non-verbally in two languages. The results of the study show that in both languages, women are extensively objectified and in some advertisements, the physical beauty of women was dehumanized and even reached to the border of pornography.
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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 | 0.015 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".