Caroline Seger or Andreas Granqvist in the spotlight? : A quantitative content analysis of Aftonbladet and Expressen during the FIFA World Cup 2015 in Canada and 2018 in Russia.
Bibliographic record
Abstract
The last century shows that sport and broadcasting has evolved around men and left the women, in the dark. Even though there has been a significant movement for women in sport, the men steal the spotlight and has the sports arena to themselves. This study, a quantitative content analysis, contains published news articles from the Swedish newspapers Aftonbladet and Expressen during the women's FIFA World Cup 2015 and the men's FIFA World Cup 2018. The objective is to examine the quantity of coverage and the representation of the Swedish women and men's national football team. This study indicates that the main coverage of the women's national team was dismally low compared to the men's national team. The study also reveals a tendency that journalists of the news articles are about four times more men than women that covers both tournaments.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.012 | 0.015 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".