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Record W3104681125 · doi:10.1080/2159676x.2020.1836515

‘Like, what even is a podcast?’ Approaching sport-for-development youth participatory action research through digital methodologies

2020· article· en· W3104681125 on OpenAlex
Robyn Smith, Madison Danford, Simon C. Darnell, Maria Joaquina Lima Larrazabal, Mahamat Abdellatif

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsParticipatory action researchCitizen journalismField (mathematics)Argument (complex analysis)SociologyAction (physics)Engineering ethicsPublic relationsKnowledge managementPolitical scienceEngineeringComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This paper reports findings from a participatory-based study with racialised newcomer youth in Toronto that utilised digital methodologies – specifically the act of podcasting – to explore connections between sport and social development. The paper examines the complex, and sometimes contradictory, relationships between participatory research and digital technologies when examining the social meanings of sport and physical activity for youth. The main argument is that despite important challenges and limitations, employing digital technologies as a form of participatory research can provide specific opportunities to (co)produce knowledge and experiences about sport and social development that may not be available or achievable within a traditional research framework. These findings are used to discuss future issues and questions around the use of participatory research approaches in the field of sport for development.

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.

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)0.045
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.917
GPT teacher head0.688
Teacher spread0.229 · 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