Bibliographic record
Abstract
Acknowledgements Notes on Contributors Introduction P.Markula Reading Media Texts in Women's Sport: Critical Discourse Analysis and Foucauldian Discourse Analysis J.Liao & P.Markula Opening up the Gendered Gaze: Sport Media Representations of Women, National Identity and Racialized Gaze in Canada M.MacNeill From 'Iron Girl' to 'Sexy Goddess': An Analysis of the Chinese Media P.Wu 'Acceptable Bodies': Deconstructing the Finnish Media Coverage of the 2004 Olympic Games P.Markula Double Trouble: Kelly Holmes, Intersectionality and Unstable Narratives of Olympic Heroism in the British Media L.Hills & E.Kennedy Different Shades of Orange?: Media Representations of Dutch Women Medallists A.Elling & R.Luijt Winning Space in Sport: The Olympics in the New Zealand Sports Media T.Bruce Heroes, Sisters and Beauties: Korean Printed Media Representation of Sport Women in the 2004 Olympics E.Koh An Analysis of AmayaValdemoro's Portrayal in a Spanish Newspaper During Athens 2004 M.Martin The Media as an Authorizing Practice of Femininity: Swiss Newspaper Coverage of Karin Thurig's Bronze Medal Performance in Road Cycling N.Barker-Ruchti Reproducing Olympic Authenticity: Representations of 2004 'Olympic Portraits of U.S. Athletes to Watch' N.Spencer
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".