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Record W3096680832 · doi:10.1177/0739532920968219

The price of greater representation: A cross-national analysis of parliamentary representation and media coverage sentiment for women

2020· article· en· W3096680832 on OpenAlex
Eran Shor, Alex Miltsov

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

VenueNewspaper Research Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsMcGill UniversityBishop's University
Fundersnot available
KeywordsRepresentation (politics)NewspaperTone (literature)PoliticsReactionaryPerceptionContent analysisMedia coveragePolitical sciencePsychologyAdvertisingSocial psychologyDemographic economicsSociologyMedia studiesEconomicsSocial scienceBusinessLawLinguistics

Abstract

fetched live from OpenAlex

Previous research suggested that news media coverage tone tends to become more negative for successful women in politics (but not for successful men) when compared with less successful and well-known women. This study tests this in 17 countries. Specifically, it examines relationships between greater parliamentary representation of women and the coverage tone in articles on women in that country through a computational analysis of millions of persons’ names in more than 1,000 newspapers. Growth in parliamentary representation of women is associated with more negative coverage, lending support for explanations that suggest reactionary responses to perceived breaching of gendered social hierarchies.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.168
GPT teacher head0.463
Teacher spread0.295 · 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