Institutional readiness and grant success among public recreation agencies
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
The financing of public recreation is diversifying. In the past, recreation agencies have used numerous strategies to address financial issues, with varying degrees of success. Such strategies have included retrenching programmes, implementing user fees, reducing staff and relying on volunteers. In North America, recreation managers have also begun to engage in fund raising efforts, including grant seeking. In 2003, recreation, sport, art and culture agencies combined received 14.7% or $2,102,824.00 of foundation grants in the United States, excluding federal and state grants. In order for the field of recreation to be successful at securing foundation grants, empirical research is needed to establish a sound knowledge base. The purpose of this study was two-fold: to validate hypothesized measures of institutional readiness, a concept originating from philanthropic studies, and to determine the strength of institutional readiness in predicting the number of foundation grants received by park and recreation agencies. Contrary to the literature, only two measures of institutional readiness (working with a board of directors and using a case statement) were found to predict success in receiving foundation grants. None the less, fund raising strategies, in particular soliciting foundation grants, represent a strategy for recreation managers to consider when faced with financial dilemmas.
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 | 0.000 | 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 | 0.001 |
| 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