State politics and gender diversity in sport governance
Bibliographic record
Abstract
Abstract This study investigates the relationship between state politics and sport governance based on an institutional framework and the concept of spillover effects. Specifically, it examines whether spillover effects occur from state parliament and government composition to board gender diversity within sport governing bodies. Organizational-level data from German national and state sport governing bodies were collected (n = 930). They were combined with state-level data on the government composition by gender and political party (parliament, ministers) based on the location of each sport governing body’s headquarter. The results show that on average 20.1% of board members in sport governing bodies are women. Regression analyses indicate that the share of parliamentarians from the Social Democrats and the Green party is positively associated with the share of women in sport governance, while the share of Liberals in the parliament is negatively related. The share of women parliamentarians from the Social party and the share of women Conservative ministers are negatively related to women in sport governance. The findings indicate that women representation in sport governance is linked to state politics, suggesting that spillover effects occur from an organizations’ political environment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".