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Record W2587600380 · doi:10.15453/0191-5096.4000

Toward Housing Stability: Exiting Homelessness as an Emerging Adult

2016· article· en· W2587600380 on OpenAlexaffabout
Jeff Karabanow, Sean A. Kidd, Tyler Frederick, Jean Hughes

Bibliographic record

VenueThe Journal of Sociology & Social Welfare · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsOntario Tech UniversityDalhousie University
Fundersnot available
KeywordsFeelingMainstreamPopulationSociologyIdentity (music)HappinessPsychologyCriminologySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

This paper explores the lives of formerly homeless young people as they transitioned towards housing stability. The study employed a longitudinal design involving 51 street youth in Halifax, N.S. (n = 21) and Toronto, ON (n = 30). This paper sheds light upon the pathways through which young people transitioned away from homelessness using the developmental lens of emerging adulthood: a stage involving numerous developmental struggles (identity, instability, self-focus, feeling in-between) but also an age filled with hope and possibilities. There are numerous interrelated factors at play that allow participants to regain a sense of citizenship with mainstream society. While housing in itself did not shape these young people's sense of stability, it influenced feelings of health, happiness and security. Yet, our participants, as a particular segment of the youth population who have transitioned out of basic homelessness, continue to describe their current lives in terms of fragility and instability. For most, opportunity for experimentation and identity exploration was often curtailed by processes outside of their control and struggles with the consequences of profound disempowerment —past trauma with family and/or current struggles with public sector structures and services. As a result, many felt abandoned and stigmatized by the very resources whose mission it is to assist.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.103
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.090
GPT teacher head0.415
Teacher spread0.325 · 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.

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

Citations18
Published2016
Admission routes2
Has abstractyes

Explore more

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