Relaying Rio Through an Australian Gaze: Australian Nationalistic Broadcast Focus in the 2016 Summer Olympic Games
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.
Bibliographic record
Abstract
This study explored how potential national biases unfolded within the Australian broadcast of the 2016 Rio Summer Olympics. Applying social identity theory and self-categorization theory, this study content analyzed a total of 45 prime time broadcast hours of Australia’s Seven Network’s coverage of the Rio Games. Although the majority of top 20 most-mentioned athletes were Australian, non-Australian athletes were mentioned more frequently regarding total name mentions. Moreover, Australian athletes and non-Australian athletes were described in significantly different manners when ascribing reasons for athletic success and failure. This study contributed to the literature by uncovering how in-group members were portrayed in the Australian sports context while also providing insight into how consumers’ media consumption could potentially affect how the network broadcast the Olympics from a nationally partisan perspective.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it