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Record W3160890796 · doi:10.1080/17430437.2021.1920928

Inside the ‘black box’ of a long-term sport-based youth development boxing academy in New Zealand

2021· article· en· W3160890796 on OpenAlexaff
Barrie Gordon, Paul M. Wright, Michael A. Hemphill, Pale Sauni

Bibliographic record

VenueSport in Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInterviewPositive Youth DevelopmentPsychologyTerm (time)Gender studiesApplied psychologyMedical educationSociologyDevelopmental psychologyMedicine

Abstract

fetched live from OpenAlex

This study examined a well-established, boxing-based positive youth development program for boys in New Zealand. The authors were cognizant of calls for investigation into what occurs within the ‘black box’ of successful programs. The study was interested in identifying and describing what processes and procedures occurred within the Naenae Boxing Academy and the impact that participation in the academy had on the boys in their wider lives. The study used a mixed method approach involving the systematic analysis of boxing sessions, extensive interviewing, surveys of participants, and multiple observations. The program was found to provide a consistent caring and safe environment for the boys. The teaching of positive values to the boys was central to the program, and it was also found that the values learnt impacted on the boys’ behaviors and relationships outside of the academy.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.107
Threshold uncertainty score0.213

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.310
Teacher spread0.266 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

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