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Record W2217368750

She’s throwing her hat in the ring! Gendered mediation and the newspaper coverage of provincial leadership candidates Christy Clark and Alison Redford.

2015· dissertation· en· W2217368750 on OpenAlexaboutno aff
J. FRANCISCO SANCHEZ

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2015
Typedissertation
Languageen
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)NewspaperPoliticsPublic spherePolitical scienceMedia coverageGender studiesMedia studiesSociologyHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

In the past few years Canadians have witnessed a significant increase in the number of women holding premierships. One CBC journalist even dubbed 2011 “The Year of the Woman” in provincial politics, noting that four out of the thirteen provinces and territories were led by women: Alison Redford in Alberta, Christy Clark in British Columbia, Eva Aariak in Nunavut and Kathy Dunderdale in Newfoundland and Labrador (MacKinnon, 2011). Further to this, in 2012 Pauline Marois became the premier of Quebec, Kathleen Wynne was elected premier of Ontario in 2013, and Rachel Notley became the premier of Alberta in 2015. In light of this change in the political arena, and recent questions about whether, for example, media coverage of Christy Clark has been sexist (Hyslop, 2013; Orr, 2013) this thesis explores the key following question: How are Canadian female politicians running to become leaders of their provincial parties being represented in the news? Two case studies serve as the main focus of this research: Christy Clark’s leadership campaign in British Columbia in 2010/2011; and Alison Redford’s leadership campaign in Alberta in 2011. Using gendered mediation, representation theories, discussions of the public and private spheres, and with a focus on textual and framing analysis, this thesis looks at how the media focuses on gender differences, which may lead to explicit or implicit forms of sexism.

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 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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.949

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.053
GPT teacher head0.289
Teacher spread0.236 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

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