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Record W2965115351 · doi:10.33524/cjar.v19i1.375

STUDENTS’ PERCEPTIONS OF BELONGING: A PHOTOVOICE PARTICIPATORY ACTION RESEARCH PROJECT

2018· article· en· W2965115351 on OpenAlexaffvenueabout
Michelle Stack, Fei Wang

Bibliographic record

VenueThe Canadian Journal of Action Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhotovoiceParticipatory action researchAction researchCitizen journalismSociologyPerceptionPedagogyAction (physics)Public relationsPolitical sciencePsychologyEconomic growth

Abstract

fetched live from OpenAlex

In this paper, we analyze a PhotoVoice project - the Belonging Project that included 22 youth co-researchers and three researchers from the University of British Columbia. The project focused on concepts of belonging and exclusion and resulted in recommendations to a school district in Canada, a photo exhibit, and two of the co-researchers being interviewed by a local radio station about the project. This paper details the tensions between what the co- researchers saw as necessary for schools to be places that create a sense of belonging and how the role of students is constructed through policies from the district to provincial levels and through societal attitudes about schooling and young people. We also detail debates in the school district (simultaneous to the Belonging Project) concerning policy to address homophobia. Finally, this paper is a story about the challenge of undertaking youth participatory oriented research within the confines of schooling.

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)0.025
metaresearch head score (Gemma)0.018
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 score0.057
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0250.014
Scholarly communication0.0080.004
Open science0.0020.010
Research integrity0.0030.004
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 head0.925
GPT teacher head0.765
Teacher spread0.160 · 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

Citations12
Published2018
Admission routes3
Has abstractyes

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