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Social norms, happiness, and the environment: closing the circle

2014· article· en· W2242114086 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

VenueSustainability Science Practice and Policy · 2014
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHappinessProsocial behaviorMultitudeVariety (cybernetics)Virtuous circle and vicious circleSustainabilityOutcome (game theory)MalleabilityWell-beingClosing (real estate)Life satisfactionsortPublic relationsPolitical scienceEconomicsSocial psychologyEnvironmental ethicsLaw and economicsSociologyPsychologyComputer scienceLawMicroeconomicsComputer securityEcology

Abstract

fetched live from OpenAlex

When social scientists and policy makers approach sustainable development, their policy tools usually include a variety of taxes and regulations aimed at influencing economic behavior of the sort traditionally assumed by economists. Such measures are likely to fall far short of what is needed to achieve the required reductions in emissions, do not embody life satisfaction as the desired outcome, and ignore what well-being research has to say about the well-springs of human behavior. In this essay, I present evidence showing how the malleability and importance of social norms combine with the well-being benefits of prosocial acts to offer a powerful new path to sustainability. If people really are happier working together for a worthy purpose, this exposes a multitude of win-win solutions to material problems, thereby building community while meeting material needs.

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)0.005
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
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 head0.011
GPT teacher head0.355
Teacher spread0.343 · 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