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Record W3155658531 · doi:10.1016/j.cresp.2021.100009

Connection to nature and environmental activism: Politicized environmental identity mediates a relationship between identification with nature and observed environmental activist behaviour

2021· article· en· W3155658531 on OpenAlexafffund
Caroline M.L. Mackay, Florencia Cristoffanini, Joshua D. Wright, Scott D. Neufeld, Hanna F. Ogawa, Michael T. Schmitt

Bibliographic record

VenueCurrent Research in Ecological and Social Psychology · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of WindsorBrock UniversitySimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMediationIdentification (biology)Identity (music)Social connectednessEnvironmentalismSocial psychologySociologyPsychologyPolitical scienceEcologyLawSocial sciencePoliticsAesthetics

Abstract

fetched live from OpenAlex

We examined environmental activist behaviour as a function of two different forms of environmental identity: identification with nature (i.e., seeing oneself as part of nature, more often referred to as connectedness to nature) and politicized environmental identity (i.e., seeing oneself as a part of a collective struggle to protect the environment). We extend prior work that found politicized environmental identity mediates a relationship between identification with nature and self-reports of environmental activism (Schmitt, Mackay, et al., 2019) by using observed behavioural indicators of environmental activism: taking pro-environmental buttons (Study 1), donating to an environmental organization (Study 2), or writing pro-environmental letters to politicians (Study 3). In Study 2 the relationship between identification with nature and activist behaviour was fully mediated by politicized environmental identity. In Studies 1 and 3, politicized environmental identity partially mediated a relationship between identification with nature and observed activist behaviour. We estimated the mean effect size of the mediation pathways in all three studies using meta-analysis, which supported the mediation model.

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)0.001
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 score0.005
Threshold uncertainty score0.952

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.002
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 head0.421
Teacher spread0.329 · 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

Citations35
Published2021
Admission routes2
Has abstractyes

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