The Fulfillment of Council on Accreditation of Parks, Recreation and Related Professions Standards Through a Youth-Adult Partnership
Bibliographic record
Abstract
The Council on Accreditation of Parks, Recreation, Tourism and Related Professions (COAPRT) outlines standards for recreation programs to ensure a quality educational experience. The current case study presents findings from a youth-adult partnership in support of various COAPRT standards to assist in the development of aspiring recreation professionals. Observation and reflection data from two consecutive partnerships between youth in a high school Physical Education course and collegiate students from a Historically Black College University’s Health, Physical Education, and Recreation program are presented based on the four dimensions of Wu, Kornbluh, Weiss, and Roddy’s (2016) youth-adult partnership (Y-AP) rubric. The results are presented based on the Y-AP rubric’s dimensions: authentic decision making, natural mentors, reciprocity, and community connectedness to illustrate how they support COAPRT standards 7.01(a) (b), 7.02, and 7.03 (COAPRT, 2014). Implications are provided to support the value a Y-AP implementation can provide recreation management programs as they seek and maintain COAPRT accreditation in the development of their students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".