If You Build it Will They Come? The Mediating Roles of Human Resource and Program Capacities
Bibliographic record
Abstract
The amenity arms race among post-secondary institutions is driving the new development or expansion of campus recreation facilities. However, investing in new and larger campus recreation facilities may not necessarily translate into usage and ultimately provide the associated benefits to students. This study explored whether human resource capacity and program capacity are mechanisms that help explain the conditions under which facility capacity translates into facility usage. Secondary data were obtained from NIRSA's research and assessment initiative from post-secondary institutions in the United States ( n = 103) that contained measures of relevance to this study. Regression analyses with bootstrapping were conducted to examine the hypothesized relationships including mediation. Results identified that an indirect only mediation model (full mediation) was present, such that greater facility capacity translates into increased facility usage through human resource capacity and program capacity. Therefore, recreation professionals and programs are indicated as pivotal to making the most of facility capacity.
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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 | 0.002 | 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) | 0.002 | 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".