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Record W7010506691

Individual well-being as a function of place among clients of residential addictions treatment facilities in Winnipeg

2008· dissertation· en· W7010506691 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2008
Typedissertation
Languageen
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTypologyNeighbourhood (mathematics)Function (biology)PerceptionAddictionPublic healthFocus groupQualitative researchMental health
DOInot available

Abstract

fetched live from OpenAlex

individuals thenrselves.This understanding ofhealth is associated u,ith a range offactors u,hich nray relate to, but is not lintited to.physical environnrenls, access 1o esseutial tesources/seLvjces and achieyirg satisfying relationships u,ith others.This study offers a review of literature lelated to urban health issues and examines theories of mechanisms by which location and social-material networks may influence an individual's notion ofpersonal health.A review of medical, social, and plaruring literature is used to frame a typology of well-being that is designed to assist in assessing the health characteristics of local physical and relational networks.The categolies of neighbourhood context, community resources, social networks and netwolk culture are presented as promising areas for funher inquiry into urban health issues, facilities siting, and health policy development. Study BackgroundThis study is about human well-being, local environments and plofessional agency.lt considers notions of individual health as a function ofurban contexts and their associated social and nraterial networks.My interest in exploring potential relationships between social networks, the locatjon of facililies and perceptions of pelsonal well-being came into focus as a result of participating, as a research associate, in the study titled: "Clean and sober places: Exploring the therapeutic landscapes of addiction recovet),"3.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.779

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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 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

Citations1
Published2008
Admission routes2
Has abstractyes

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