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Record W6959204170 · doi:10.1002/mar.20522/abstract

“It’s Not Easy Being Green”: Exploring Green Creeds, Green Deeds, and Environmental Locus of Control

2012· article· en· W6959204170 on OpenAlexaff

Bibliographic record

VenueScholarship@Western (Western University) · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCocoa and Sweet Potato Agronomy
Canadian institutionsConcordia UniversityWestern University
Fundersnot available
KeywordsLocus of controlStructural equation modelingConfirmatory factor analysisAffect (linguistics)Sample (material)Control (management)

Abstract

fetched live from OpenAlex

The authors report on the development of a novel construct, internal environmental locus of control (INELOC), which captures consumers’ multifaceted attitudes pertaining to personal responsibility towards and ability to affect environmental outcomes. Using data gathered from a sample of consumers, the linkages between INELOC and a wide array of environmental behaviors were investigated. Exploratory and confirmatory factor analyses revealed four first-order dimensions (“green consumer,” “activism,” “advocate,” and “recycling attitudes”) embedded within a second-order INELOC factor. Structural equations modeling techniques showed that INELOC was a strong positive predictor of many behaviors. However, the nature of the attitude–behavior relationship varied considerably across behavioral contexts, implying that people do not consistently behave in a pro-environmental manner.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.817

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 studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.092
GPT teacher head0.246
Teacher spread0.154 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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