Challenges for sport organisations developing and delivering non‐traditional social sport products for insufficiently active populations
Bibliographic record
Abstract
OBJECTIVES: To explore the challenges that Victorian sporting organisations experience when developing, delivering or scaling non-traditional social sport products to engage insufficiently active people. METHODS: Online Concept Mapping was used to gather qualitative data and analyse it quantitatively. RESULTS: A total of 68 participants (27 organisations) brainstormed 158 challenges. The research team synthesised these to 71 unique challenges for participants to sort into groups and rate for importance (0-5) and ease of overcoming (0-5). A nine-cluster solution - Deliverers; Capacity to drive the product; Facilities and partnerships; Product development; Sustainable business model; Marketing to insufficiently active; Attracting the insufficiently active; Clubs and volunteers; and Shifting traditional sport culture - was considered most appropriate. Participants rated the Deliverers challenges as the most important (mean=3.52), and the Marketing to insufficiently active challenges as the easiest to overcome (2.72). CONCLUSIONS: Key ingredients to successfully developing and delivering non-traditional sport opportunities for insufficiently active populations are: recruiting appropriate product deliverers; building the capacity of delivery organisations and systems; and developing products relevant to the delivery context that align with the needs and characteristics of the target population. Implications for public health: A system-wide response is required to address the challenges associated with sport organisations developing, scaling and delivering innovative social sport products for insufficiently active populations.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".