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Record W3034291301 · doi:10.1080/03626784.2020.1766341

“People give and take a lot in order to participate in things:” Youth talk back – making a case for non-participation

2020· article· en· W3034291301 on OpenAlexaff
Sarah Switzer

Bibliographic record

VenueCurriculum Inquiry · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsSociologyHegemonyNeoliberalism (international relations)Citizen journalismNarrativeYouth participationYouth studiesPoliticsPower (physics)Resistance (ecology)Participatory action researchThematic analysisPublic relationsGender studiesQualitative researchSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Common typologies frame youth participation as something that exists at different hierarchical, or linear, levels or stages. In these models, non-participation is positioned as something negative or not addressed at all. Scholars have critiqued these typologies for ignoring contextual specificities and complexities, nuances, and power dynamics inherent in participatory processes. In this article, I draw from narratives of young people to productively theorize what non-participation might engender for thinking about and enacting participatory processes. In this study, I asked stakeholders at a youth-led HIV prevention and harm reduction peer-education program to take and discuss photographs that reflected their ideas about youth engagement. I provide a thematic analysis of how young people understood and navigated their participation in complex and self-determined ways. I put their narratives in dialogue with critical scholars’ writing on settler-colonialism, neoliberalism, and willfulness to tease apart why and how young people’s comments on non-participation offer a sophisticated counter-hegemonic understanding of the “call to participation” and its discursive and material effects. Last, drawing on the work of Indigenous theorists who advocate for a politics of refusal, I argue that young people’s refusal to participate (or to participate on their own terms) may be an act of resistance – especially for young people whose bodies are regulated on a daily basis. I conclude by making a case for non-participation as a conceptual tool to disrupt and refuse hegemonic, linear theories of change and invite practitioners working with young people to do the same.

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)0.023
metaresearch head score (Gemma)0.016
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 score0.036
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0360.074
Scholarly communication0.0180.022
Open science0.0020.018
Research integrity0.0080.014
Insufficient payload (model declined to judge)0.0030.001

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 head0.543
GPT teacher head0.585
Teacher spread0.043 · 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

Citations13
Published2020
Admission routes1
Has abstractyes

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