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Record W2981806345 · doi:10.1177/0192512119876083

Gender novelty and personalized news coverage in Australia and Canada

2019· article· en· W2981806345 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Political Science Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSalience (neuroscience)PoliticsNoveltyNewspaperContext (archaeology)PersonalizationPolitical scienceGovernment (linguistics)Public relationsSocial psychologyPsychologyLawBusinessHistoryMarketing

Abstract

fetched live from OpenAlex

Are female government leaders more likely than their male counterparts to see their gendered identities and personal lives profiled in news coverage of their ascents? Are non-novel women leaders—those who are the second in their jurisdiction to achieve the top political job—less likely to experience media personalization than did the women who preceded them in office? By analyzing newspaper coverage of 20 Australian and Canadian premiers, ten women and their immediate male predecessors, our study establishes that female premiers were more extensively personalized in news coverage than were male premiers, particularly in the Australian context. However, gender novelty and other factors proved significant. The proposition that an increased presence of women in leadership roles diminishes the salience of private lives and personal characteristics is supported by our study, suggesting that gender stereotyping of female political leaders will decrease over time as more women exercise political power.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.070
GPT teacher head0.404
Teacher spread0.334 · 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