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Record W2073127797 · doi:10.1080/2159676x.2013.867410

Click! Using photo elicitation to explore youth experiences and positive youth development in sport

2014· article· en· W2073127797 on OpenAlexaff
Leisha Strachan, Kristin Davies

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPhoto elicitationContext (archaeology)Positive Youth DevelopmentPsychologyFocus groupApplied psychologyFeature (linguistics)Developmental psychologyKnowledge managementComputer scienceSociologyGeography

Abstract

fetched live from OpenAlex

The purpose of the study was to use photo elicitation to explore youth experiences and positive development in sport. Participants (N = 26) involved in either a high-performance sport context or a sport camp context were recruited and focus groups were conducted using photographs taken by the participants. The photo methodology involved participants taking pictures of their experiences in their respective sport context. Two separate studies were conducted and the setting features framework was implicated in the analysis. Results point to differences in youth sport experiences between the contexts. The setting feature related to supportive relationships was more prominent in the sport camp context and the feature related to opportunities for skill building was reported more in the high-performance context. Other setting features were also implicated in the analysis and discussion. The suitability of the photo methodology is also discussed.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.418
GPT teacher head0.555
Teacher spread0.137 · 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

Citations26
Published2014
Admission routes1
Has abstractyes

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