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Record W3093583354 · doi:10.29173/topo37

Developing an Accessibility Index to Inform Housing First Policy: A Critical Evaluation of Social Services in Edmonton

2017· article· en· W3093583354 on OpenAlexvenueaboutno aff
Eden McDonald-Yale, Andree Patenaude

Bibliographic record

VenueTopophilia · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)BusinessAffordable housingService (business)Economic growthMarketingComputer scienceEconomics

Abstract

fetched live from OpenAlex


 
 
 Unique among housing initiatives, Housing First operates on the principle that every person has the right to a safe and secure home regardless of housing readiness. The Housing First Support Program, operated by Homeward Trust Edmonton, is currently providing over 2,500 Edmontonians with secure housing and the supports needed in the transition from homelessness into housing. The program is intended to last 12 months, gradually reducing a client’s support untilthey are self-sufficient; however, this may be difficult for some clients, especially if they experience poor accessibility to the services and amenities they require to achieve housing stability. In particular, youth experiencing homelessness require supports that are tailored to their needs and that aid in the transition from adolescence to adulthood. As youth make up 17% (n=312) of Housing First clients, it is imperative that the services, centres, and supports necessary to breaking the cycle of homelessness are accessible to them at this critical stage in development. With this project, we mapped the locations of current Housing First clients aged 12-24 in relation to the services and amenities they may require to achieve housing stability. After identifying these services and amenities, we used a gravity model to create an Accessibility Index. This Accessibility Index highlights the service accessibility of current Housing First clients, and can be used in the future to identify areas of need and opportunities for increasing accessibility.
 
 

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
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 head0.188
GPT teacher head0.555
Teacher spread0.367 · 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 designObservational
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
Published2017
Admission routes2
Has abstractyes

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