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Record W2268005086

Satisfaction with Life along the Rural-Urban Continuum: Key Indicators in the Halifax Region of Canada

2014· article· en· W2268005086 on OpenAlexaboutno aff
Hugh Millward

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingSocioeconomicsGeographyQuality of life (healthcare)Life satisfactionNova scotiaPsychologyDemographySociologySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

This paper examines how satisfaction with life (SWL) varies for residents in different zones of the rural-urban continuum, using objective and subjective indicators for 1,971 respondents in the county-sized municipality of Halifax, Nova Scotia, Canada. Data are from the STAR project, which was a combined time diary and travel survey. Respondents rated their overall feelings about life quality (global SWL) and feelings for life domains (e.g. health, finances). SWL scores were highest in the inner city (IC), moderate in the suburbs and inner commuter belt (ICB), and lowest in the outer commuter belt (OCB). These variations are partly related to the geography of socio-demographic 'control' variables, such as age, household income, and marriage status. They also relate strongly to self-rated health status (highest in the IC), and ratings of 'time stress' (lowest in the IC, highest in the commuter belt). Some inherently geographic variables also relate significantly to SWL: the most notable are 'sense of community belonging' (highest in the IC, lowest in the OCB) and 'unsafe walking after dark' (least safe in the IC, safest in the OCB). Keywords: life satisfaction, well-being, rural-urban, community, health

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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 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
Published2014
Admission routes1
Has abstractyes

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