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Record W4403025632 · doi:10.7870/cjcmh-2024-014

Results of a Process Evaluation of the Implementation of a Housing First Program in Waterloo, Canada

2024· article· en· W4403025632 on OpenAlexaffvenueabout
Maritt Kirst, Steven Bigioni, Margaret Douglin, Victoria Rozycki, Geoffrey Nelson, Edwina Toope, Lisa Gill Tamcsu

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsProcess (computing)Transport engineeringEngineeringCivil engineeringComputer scienceProgramming language

Abstract

fetched live from OpenAlex

This study evaluated PATHS2Home (P2H), a Housing First program in Canada, through qualitative interviews and focus groups with 34 program staff, participants, and partners. Results showed successful implementation with participant satisfaction, strong program design and leadership, skilled staff, positive service system relationships, effective housing support, and fidelity to the Housing First (HF) model. Challenges included skepticism of the program model, communication with partners, staff turnover, and systemic factors such as affordable housing availability. Overall, the evaluation showed successful implementation of the P2H program in line with HF principles and identified several areas for improvement to better support participants and achieve program goals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.668

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0100.003
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.109
GPT teacher head0.495
Teacher spread0.386 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2024
Admission routes3
Has abstractyes

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