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Record W631678024 · doi:10.1002/9781119568124.ch20

Positive Youth Development Through Sport

2020· other· en· W631678024 on OpenAlexaff
Nicholas L. Holt, Colin J. Deal, Kurtis Pankow

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPositive Youth DevelopmentLife skillsAsset (computer security)Public relationsEngineering ethicsPsychologyPedagogyPolitical scienceDevelopmental psychologyEngineeringComputer science

Abstract

fetched live from OpenAlex

Positive Youth Development (PYD) is an asset-building approach to youth development research and practice that emphasizes enhancing strengths and developing potential in all youth. This chapter explains how PYD emerged and the ways in which it has been applied to sport. It details the origins of PYD, and discusses conceptual approaches to PYD and associated research. The chapter examines the life skills literature, and highlights important issues for future consideration to advance research and practice in PYD through sport. The approaches to PYD originating in developmental psychology have provided the foundation for contemporary PYD research in sport. Life skills building activities are an essential feature of programs designed to foster PYD. A major focus in PYD through sport revolves around helping youth learn life skills and transferring these skills to other contexts such as home, school, and work.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.038
GPT teacher head0.294
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations308
Published2020
Admission routes1
Has abstractyes

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