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Record W4200338497 · doi:10.1080/17430437.2022.2017619

Critically examining a community-based participatory action research project with forced migrant youth

2021· article· en· W4200338497 on OpenAlex
Thierry R. F. Middleton, Robert J. Schinke, Deborah Lefebvre, Bahaa Habra, Diana Coholic, Cole E. Giffin

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.

Bibliographic record

VenueSport in Society · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsLaurentian University
Fundersnot available
KeywordsParticipatory action researchPraxisSociologyCitizen journalismForced migrationPublic relationsAction researchGender studiesPolitical sciencePedagogyRefugee

Abstract

fetched live from OpenAlex

This paper pertains to a project which began with an academic research team being recruited by a YMCA management team to help understand how to retain forced migrant youth in YMCA sport programs. Owing to experience working with diverse cultural groups through praxis-oriented approaches, the project team recognized a need to develop an understanding of how forced migrant youth wished to engage in sport where the onus was not exclusively theirs to shoulder the navigation of cultural differences. We present a critical analysis, interspersed with creative non-fiction accounts, to show how forced migrant youth, their families, YMCA settlement staff members, and an academic research team collaborated to increase awareness of the diverse cultural ‘realities’ present in our community and social inequalities faced by forced migrant youth. We conclude with lessons related to community capacity building and the development of contextually relevant sport programs.

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)0.026
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.900
GPT teacher head0.680
Teacher spread0.220 · 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