Reflections on investigating sport governance processes
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
Sport governance research has demonstrated the use of different qualitative methodological approaches to investigate governance processes. To build off this work, this study provides reflections on investigating governance processes in non-profit sport organization boards via a multi-method, in situ, and longitudinal approach. Using an autoethnography, a diary serves as the source of data to present first-hand reflections. Reflections are based on the lived experiences of investigating governance processes via 79 hours of overt non-participant observations of board meetings, 18 semi-structured interviews, and over 1,000 documents. Reflections are discussed as strengths (i.e. the cruciality of observing the phenomenon, the value of multiple methods, and technology’s ease) and challenges (i.e. participant recruitment and overwhelming demands). This study is warranted to inform sport governance scholars about methodological learnings to investigate governance processes. Reflections, thus, inform future sport governance research to understand the nuances of undertaking a multi-method, in situ, and longitudinal approach. Collectively, learnings offer implications for sport governance researchers, thereby advocating for the advancement of novel methodological approaches.
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 | 0.002 |
| 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