What League? The Representation of Female Athletes in Australian Television Sports Coverage
Bibliographic record
Abstract
This article explores why women's sport in Australia still struggles to attract sponsorship and mainstream media coverage despite evidence of high levels of participation and on-field successes. Data are drawn from the largest study of Australian print and television coverage of female athletes undertaken to date in Australia, as well as from a case study examining television coverage of the success of the Matildas, the Australian women's national football team, in winning the Asian Football Confederation (AFC) Women's Asian Cup in 2010. This win was not only the highest ever accolade for any Australian national football team (male or female), but also guaranteed the Matildas a place in the 2011 FIFA Women's World Cup in Germany [where they reached the quarter-finals]. Given the close association between success on the field, sponsorship and television exposure, this article focuses specifically on television reporting. We present evidence of the starkly disproportionate amounts of coverage across this section of the news media, and explore the circular link between media coverage, sponsorship and the profile of women's sport.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".