From gender policies and practices to organisational performance of sport governing bodies
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
Research question Gender policies reflect identity-conscious human resource management structures that aim to reduce unfair treatment based on gender. Drawing on signalling theory and the categorisation-elaboration model, the literature suggests that the relationship between gender policies and organisational performance is moderated by several factors (gender practices, organisational culture, decision-making quality), which have not yet been empirically studied. The purpose of this study is to investigate the presence of gender policies in sport governing bodies (SGBs) and examine their relationship with organisational performance.Research methods An online questionnaire was sent to representatives of German SGBs (n = 202). Structural equation modelling was used to examine the relationships between gender policies, gender practices (i.e. board gender diversity), organisational culture, decision-making quality, and organisational performance.Results and findings Gender policies are rarely present in German SGBs, and can only shape the organisational culture when they are connected to daily routines (in contrast to the simple presence of a written statement). Gender policies and practices are positively associated with decision-making quality and organisational performance.Implications The findings contribute to the literature by shedding light on the theoretical mechanisms (i.e. organisational culture, decision-making quality) through which group diversity affects organisational performance. Sport managers should connect gender policies to the daily work instead of simply including them in good governance guidelines, especially because they also benefit the organisation in terms of better performance. Politicians should consider mandatory regulations to make gender policies more effective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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