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Record W4400773940 · doi:10.5206/ijoh.2023.3.17381

The Association Between Stress, Discrimination, and Hope Among Youth Experiencing Homelessness: Social Support as a Buffer

2024· article· en· W4400773940 on OpenAlexvenueno aff
Mia Budescu, Dania Valera, Harvey Cruz

Bibliographic record

VenueInternational Journal on Homelessness · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
FundersCity University of New York
KeywordsAssociation (psychology)PsychologyStress (linguistics)Social supportBuffer (optical fiber)Clinical psychologyDevelopmental psychologySocial psychologyPsychotherapistComputer science

Abstract

fetched live from OpenAlex

Introduction: Homelessness is associated with a variety of stressors, including safety concerns, and uncertainty about the future as well as stigmatization, that can lead to or exacerbate pre-existing physical and mental health issues. This study explores the association between stress, hope, stigmatization, and social support among youth experiencing homelessness. Method: Quantitative, cross-sectional survey data were collected on n = 100 youth between the ages of 18 - 29 (60% identified as men, 28% as women, and 10% as transgender/gender diverse) experiencing homelessness in New York City. Result: Transgender or gender-diverse youth reported lower levels of hope and social support compared to the rest of the sample. Additionally, participants identifying as lesbian, gay, bisexual, transgender, and queer (LGBTQ) reported higher levels of professional support than heterosexual-identifying participants. Further analysis revealed a correlation between longer length of homelessness and less perceived social support. Finally, the association between discrimination, stress and hope was weaker for respondents with higher levels of social support quantity and quality, respectively. Conclusion: The results suggest that social support is an essential protective factor from both street-based stress and discrimination. It is vital to facilitate adequate support to youth experiencing homelessness, especially for the gender-diverse youth who report lower levels of hopefulness.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.036
GPT teacher head0.387
Teacher spread0.351 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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