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Record W2041986045 · doi:10.1177/0013916505278458

A Comparison of Environmental Values and Attitudes Between Chinese in Canada and Anglo-Canadians

2005· article· en· W2041986045 on OpenAlexaffabout
Jinyang Deng, Gordon J. Walker, Guy S. Swinnerton

Bibliographic record

VenueEnvironment and Behavior · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAcculturationPsychologySocial value orientationsValue (mathematics)Affect (linguistics)Social psychologyCultural valuesSociologyGender studiesEthnic group

Abstract

fetched live from OpenAlex

This study examines similarities and differences in environmental values and attitudes between two cultural groups—Chinese in Canada and Anglo-Canadians. The results indicate that Chinese are more supportive of social-altruistic values than are Anglo-Canadians. However, the two groups are not significantly different in biospheric values. Moreover, both groups are significantly different in two of four new environmental paradigm (NEP) subscales— limits to growth and antianthropocentrism—whereas their attitudes toward the other two NEP subscales— eco-crisis and balance-of-nature—are similar. Study results also suggest that biospheric values are closely related to the NEP, whereas social-altruistic values are not. In addition, acculturation does not consistently affect all six subscales, suggesting that Chinese in Canada may have adopted a selective acculturation pattern. Finally, this study's findings also endorse some previous research that proposes that value orientations may be more helpful in understanding environmental concern than sociodemographic variables such as age, education, and income.

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 score0.058
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.262
Teacher spread0.253 · 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

Citations144
Published2005
Admission routes2
Has abstractyes

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