Leveraging Charity Sport Events to Develop a Connection to a Cause
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
Charity sport events can be strategically leveraged to provide benefits beyond the event itself. This study explores how charity sport events can be leveraged as an opportunity for nonprofit organizations to stimulate participants' interest in their other cause-related activities. Specifically, the relationships between motives for participation and future intentions to engage in additional cause-related activities are examined. Questionnaires were used to collect data at three separate and uniquely themed running events in support of charities tied to Alzheimer's disease, anaphylaxis, and mental health. Results from the multiple regression analysis highlight the predictive importance of cause, social, and event theme as predictors of future intentions. The physical aspect of the event was an important factor in attracting participants to the event but not predictive of future intentions to engage in additional charity-related activities.
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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 | 0.001 | 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