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Record W4395039252 · doi:10.3390/youth4020039

The Work of Youth Homelessness Prevention in Ontario: Points of Frustration, Points of Potential

2024· article· en· W4395039252 on OpenAlexafffundabout
Sarah Cullingham, Naomi Nichols, Aron Rosenberg

Bibliographic record

VenueYouth · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcGill UniversityTrent University
FundersNetworks of Centres of Excellence of CanadaSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsCognitive reframingEmpowermentWork (physics)PoliticsPublic relationsSociologyPolitical sciencePsychologySocial psychology

Abstract

fetched live from OpenAlex

Despite a rhetorical turn towards prevention in homelessness policy and research, the work of youth homelessness prevention continues to be frustrated by persistent structural barriers. In this article, we examine how youth homelessness prevention is being implemented in the province of Ontario, with a focus on targeted provincial support programs and local shelter diversion practices. Drawing on interviews with workers in the homeless-serving sector, we describe the implementation of these initiatives and identify points of frustration and potential that workers encounter as they try to prevent experiences of homelessness for youth. We contend that these points of frustration illuminate persistent structural barriers that continue to forestall the work of youth homelessness prevention. Meanwhile, points of potential demonstrate the importance of empowering workers to creatively adapt and offer responsive services. Taken together, these signal the critical importance of two aspects of contemporary homelessness prevention typologies—primordial prevention and empowerment. We end by offering aspirations for action, a political reframing of the policy recommendations sections more typical of social science research articles. We do so to affirm our commitment to advancing the work of structural transformation that is required to achieve the right to housing for all, including youth.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.197
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.051
GPT teacher head0.357
Teacher spread0.306 · 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 teacher head, 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

Citations2
Published2024
Admission routes3
Has abstractyes

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