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Record W1972236373 · doi:10.1177/00027640121958456

Framing the Fight

2001· article· en· W1972236373 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

VenueAmerican Behavioral Scientist · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsColumbia College
Fundersnot available
KeywordsFraming (construction)NewspaperPoliticsContent analysisPolitical scienceGovernorMedia coverageGeneral electionPublic relationsMedia studiesSociologySocial scienceLawGeographyEngineering

Abstract

fetched live from OpenAlex

The few research studies that explore the media's portrayal of female candidates in comparison to male candidates have been limited to general election campaigns and usually to one level of office. To expand this area of research, this study examines the media's portrayal of female and male candidates in primary races at two levels of political leadership in which the representation of women is strikingly low—state governor and U.S. senator—in the 2000 campaign. This study's exploration of how the media portrays female and male candidates relies on a content analysis of articles from major national newspapers and representative major regional newspapers. By studying the media's portrayal of male and female candidates during primary elections at two levels of political leadership, this study provides an understanding about how men and women are framed differently even when vying for their own party's bid and, thus, new insights into how such primary framing can translate into bias during the general elections.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.906
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.044
GPT teacher head0.377
Teacher spread0.333 · 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