“Wildrose Wild Card”: Alberta Newspaper Coverage of the 2009 Wildrose Alliance Leadership Contest
Bibliographic record
Abstract
This study uses quantitative and qualitative methods to examine Alberta newspaper coverage of the Wildrose Party’s 2009 leadership contest. We compared the overall visibility of the two candidates, Danielle Smith and Mark Dyrholm, and contrasted news framing of their public and private personas and assessments of their ideological positions and leadership skills. Smith was more visible than her male opponent, reflecting her front-runner status during the leadership race. Somewhat surprisingly, Smith was not framed as a woman candidate, nor were evaluations of her performance marked by sexism or gender stereotypes. We argue that these findings are atypical and other women leadership contenders are not likely to receive the glowingly positive assessments Smith enjoyed. Smith’s conservative ideological position, and the possibility that she had the skills and public appeal necessary to topple the longstanding governing party, prompted the remarkably adulatory coverage accorded her candidacy by the Alberta press corps.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".