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Record W2893063000 · doi:10.3846/cs.2018.5509

CREATIVE MARGINALIZATION OF GENDER: A DISCOURSE ANALYSIS OF ADVERTISEMENTS IN PAKISTANI NEWSPAPERS

2018· article· en· W2893063000 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

VenueCreativity Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNewspaperDiversity (politics)AdvertisingCreative industriesMass mediaSample (material)Content analysisSociologyPolitical scienceGender studiesPsychologySocial scienceBusiness

Abstract

fetched live from OpenAlex

Creative industries have been considered crucial to the economic well-being of any country. Besides the economy, the advertising industry has been investigated in West for its influence on the minds of its consumers. Pakistan has a diversity of culture and impact of creative industries on common people is not studied yet. The present study analyses the advertising discourse to explore gender construction through language and visuals in Pakistani print media. The sample includes four national English newspapers collected over a period of one month. An asymmetrical and stereotypical portrayal of women emerges from discourse analysis. Along with gender-specific language, images are constructed to render women marginalised as compared to men in Pakistani society. Results imply that creative industries have a potential to exert an ever-lasting impact on mass-mind but have become a tool in the hands of influential people.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.105
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.107
GPT teacher head0.448
Teacher spread0.342 · 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