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Record W3028645932 · doi:10.5430/jct.v9n2p62

The Fulfillment of Council on Accreditation of Parks, Recreation and Related Professions Standards Through a Youth-Adult Partnership

2020· article· en· W3028645932 on OpenAlexvenueno aff
Taryn Price, Nicole Been

Bibliographic record

VenueJournal of Curriculum and Teaching · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationAccreditationGeneral partnershipRubricPublic relationsMedical educationPedagogyPsychologyPolitical scienceSociologyMedicine

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.336
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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