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Record W2117946121 · doi:10.1080/01490400802558277

The Effects of Ethnicity and Leisure Satisfaction on Happiness, Peacefulness, and Quality of Life

2008· article· en· W2117946121 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeisure Sciences · 2008
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHappinessEthnic groupLife satisfactionSocial connectednessPsychologyQuality of life (healthcare)Leisure satisfactionSpiritualityMultilevel modelLeisure activitySocial psychologySociologyMedicineMathematics

Abstract

fetched live from OpenAlex

The purpose of this study was to examine how ethnicity and leisure satisfaction affected people's happiness, peacefulness, and quality of life. A trilingual telephone survey of Chinese/Canadians (N = 261) and British/Canadians (N = 258) was conducted. Hierarchical multiple regressions indicated that sex had no significant effect on any regressors. Ethnicity significantly affected standard of living, achieving in life, and life as a whole. Overall leisure satisfaction significantly affected happiness, peacefulness, and all nine quality of life domains. Canonical correlations also showed that happiness and achieving in life were positively correlated for British/Canadians and happiness and personal relationships were positively correlated for some Chinese/Canadians. Peacefulness was positively correlated with spirituality/religion and community connectedness, but negatively correlated with personal relationships, for some Chinese/Canadians. Implications and research recommendations are provided.

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.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.054
GPT teacher head0.338
Teacher spread0.284 · 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