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Record W1963102589 · doi:10.1080/02763893.2015.1055024

“No Home, No Place”: Addressing the Complexity of Homelessness in Old Age Through Community Dialogue

2015· article· en· W1963102589 on OpenAlexaffabout
Ryan Woolrych, Nora Gibson, Judith Sixsmith, Andrew Sixsmith

Bibliographic record

VenueJournal of Housing for the Elderly · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAging in placeGerontologySociologyPsychologyMedicine

Abstract

fetched live from OpenAlex

The aging-in-place agenda supports the right of seniors to live in their preferred environment, as the place where they can retain a sense of independence and control in old age. This right is compromised for vulnerable seniors who are homeless or at risk of becoming homeless. Causes of homelessness in old age are complex, and pathways into and out of homelessness are multifaceted, including financial insecurity, relationship breakdown, and addiction, compounded by barriers to accessing services, shrinking social support networks, and complex health challenges. Addressing the multidimensional nature of homelessness in old age requires holistic solutions that bring together the knowledge and expertise of multiple stakeholders, not least seniors themselves. With this aim, this paper reports on findings from multistakeholder community dialogue sessions conducted across Metro Vancouver with seniors’ organizations, service providers, and local government to prioritize the challenges of senior homelessness in Metro Vancouver and propose strategies and solutions for addressing the issue. The paper highlights some of the ways in which services and housing supports can be designed to support older adults who are homeless or at risk of becoming homeless.

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)0.005
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 score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.322
GPT teacher head0.441
Teacher spread0.118 · 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

Citations37
Published2015
Admission routes2
Has abstractyes

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