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Record W4387135300 · doi:10.1080/10530789.2023.2262186

Experiences of belonging following homelessness: a systematic review and meta-aggregation

2023· review· en· W4387135300 on OpenAlexafffund
Patti Plett, Abe Oudshoorn, Rebecca Gewurtz, Cheryl Forchuk, Marisa Kfrerer, Shauna Perez, Corinna Easton, Carrie Anne Marshall

Bibliographic record

VenueJournal of Social Distress and the Homeless · 2023
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsLawson Health Research InstituteMcMaster UniversityWestern University
FundersCanadian Institutes of Health Research
KeywordsCINAHLGratitudeSystematic reviewMEDLINEGrey literaturePsychologySociologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Belonging is a human need and an essential component of community integration following homelessness. Little is known about the range of studies exploring experiences of belonging following homelessness. We conducted this systematic review and meta-aggregation to address this gap using Joanna Briggs Institute (JBI) methodology following Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines (PRISMA). We searched seven databases (EMBASE; PsychINFO; CINAHL; Medline; AMED; Nursing and Allied Health Database; and Sociological Abstracts), combining three main concepts: 1) homelessness; 2) belonging; and 3) transition. The search identified 2504 titles and abstracts. Of these, we included 33 studies in our review and meta-aggregation. Our meta-aggregation generated four themes describing experiences of belonging following homelessness: 1) developing a sense of belonging is a challenging process in the transition to housing; 2) shifting connections and finding new belonging; 3) belonging through engaging in meaningful activities; and 4) housing as a foundation for connection. These findings indicate that housing stability creates opportunities to belong but developing a sense of belonging is a difficult process involving changes in social networks facilitated by engaging with others in meaningful activities.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.448
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0130.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.090
GPT teacher head0.434
Teacher spread0.344 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Social Distress and the HomelessSame topicHomelessness and Social IssuesFrench-language works237,207