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Record W1840324414 · doi:10.1111/asap.12035

Intergroup Ideology and Environmental Inequality

2013· article· en· W1840324414 on OpenAlexaff
Lynne M. Jackson, Lisa M. Bitacola, Leslie M. Janes, Victoria M. Esses

Bibliographic record

VenueAnalyses of Social Issues and Public Policy · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsWestern UniversityThe King's University
Fundersnot available
KeywordsSocial dominance orientationDominance (genetics)IdeologyIngroups and outgroupsPopulationInequalitySocial psychologyEnvironmental justicePsychologyPolitical scienceSociologyDemographyPoliticsLawBiology

Abstract

fetched live from OpenAlex

Three studies showed that social dominance orientation could contribute to environmental inequality through its association with environmental and economic ideologies, pursuit of ingroup interest, and relative indifference toward groups with low economic standing. Study 1 showed that social dominance orientation is correlated with a lack of concern for the natural environment and with the endorsement of free‐market ideology. In Study 2, people higher in social dominance orientation endorsed a polluting industry that hurt a foreign population when the industry benefited their ingroup. Study 3 demonstrated that, given a choice of locations to site an environmentally problematic industry, people higher in social dominance orientation chose to direct the dangerous environmental footprint toward economically vulnerable foreign populations, and this was because of their relative lack of concern for human justice.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.347
Teacher spread0.324 · 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 designTheoretical or conceptual
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

Citations39
Published2013
Admission routes1
Has abstractyes

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