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Record W2396735713 · doi:10.18357/ijcyfs.71201615635

THE SPECTRUM OF VISIBILITY: YOUTH EXPERIENCES OF MARGINALIZATION AND HOMELESSNESS

2016· article· en· W2396735713 on OpenAlexafffundvenue
Jane Robson, Lynda M. Ashbourne, Kevin de Leon

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Guelph
FundersCanadian Institutes of Health Research
KeywordsVisibilityParticipatory action researchCitizen journalismInclusion (mineral)The artsSociologyPsychologySocial psychologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

In this paper, we present some of the results of a youth participatory action research (Y-PAR) project that involved youth aged 16 to 20 who reported being marginalized in their community, primarily due to a lack of stable or consistent housing. Participants met in weekly group meetings to explore the influences of structural violence on their lives. The participants used arts-based methods to express their experiences of inclusion and exclusion, the influences of structural violence in their lives, and how they see those factors contributing to their ability to influence their own visibility in their communities. Themes in their visual arts projects highlighted aspects of visibility of marginalized youth. Youth participants described visibility as both a positive and negative attribute, depending on the youth’s need for resources or support. We include examples of the participants’ arts projects to demonstrate these themes and descriptions.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0060.004
Open science0.0010.013
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.291
GPT teacher head0.530
Teacher spread0.238 · 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

Citations3
Published2016
Admission routes3
Has abstractyes

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