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Record W1849678555 · doi:10.7870/cjcmh-2014-027

Evaluating the Planning and Development Phase of a Demonstration Project: At Home / Chez Soi Moncton

2014· article· en· W1849678555 on OpenAlexaffvenueabout
Linsay Flowers, Charles Gaucher, Jimmy Bourque

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsMental healthStakeholderHousing FirstPsychological interventionPsychologyMental illnessCommissionProcess managementProcess (computing)Medical educationNursingMedicineEngineeringPublic relationsBusinessPolitical scienceComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

This research focused on the planning and development phase of the Moncton site of At Home / Chez Soi, a multisite research demonstration project funded by the Mental Health Commission of Canada, developed to test an innovative approach to working with homeless people living with severe and persistent mental illness in 5 Canadian cities. Using qualitative methods, 11 local key informants participated in semistructured interviews focusing on: (a) early planning processes; (b) principles and values guiding the planning process; (c) planning actions; and (d) stakeholder relationships. We found that contextual elements, especially those related to the small size and bilingual nature of the city and the lack of mental health services in the area, had a significant impact on the planning and development of the project in Moncton. The implications of findings for future planning of complex community interventions are noted.

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)0.021
metaresearch head score (Gemma)0.017
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score0.840

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0030.001
Open science0.0030.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.268
GPT teacher head0.517
Teacher spread0.250 · 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

Citations6
Published2014
Admission routes3
Has abstractyes

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