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Record W4409080079 · doi:10.1111/cobi.14461

Use of theories of human action in recent conservation research

2025· review· en· W4409080079 on OpenAlexaff
Harold N. Eyster, Rachelle K. Gould, Kai M. A. Chan, Terre Satterfield

Bibliographic record

VenueConservation Biology · 2025
Typereview
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsUniversity of British Columbia
FundersGund Institute for Environment
KeywordsMetatheoryAction (physics)Behavioural sciencesAction theory (sociology)SociologyEpistemologyConservation psychologySet (abstract data type)Social sciencePsychologyEcologyComputer science

Abstract

fetched live from OpenAlex

Social sciences are increasingly recognized as useful for reorienting human action toward environmental conservation. Fully realizing the social sciences' potential requires applying social science methods to conservation challenges and drawing from and building on human action theories from across the social sciences to better understand how and when actions can realize positive social and environmental priorities. We conducted an in-depth analysis of a bounded, systematically selected set of conservation science peer-reviewed articles to investigate the prevalence of social science theories of human action in conservation research and whether these theories represent the richness of the social science literature related to human action. We censused papers published in 2023 in Conservation Biology, Conservation Letters, and Biological Conservation and assessed each paper's geographic scope, social science engagement, whether it investigated human action, and weather it explicitly used human action theories and underlying metatheory (i.e., ways of understanding the world and how one gains knowledge of it). Results across 533 papers showed that 32% of papers incorporated social science and that 64% of these social science papers investigated human action. Twenty-seven percent of these human action papers used explicit human action theories. The theory of planned behavior was the most used explicit theory (17% of action theory papers). The independent self metatheory was the most prevalent; it underlies the theory of planned behavior and focuses on understanding how personal attributes, such as values, shape intentional individual behavior. The prevalence of a few theories and metatheories in these dominant conservation journals may indicate a limited capacity for conservation research to build on previous research, avoid redundant reinvention, and unmask novel applications of social science theory that could reorient human action toward conservation. Human action theory use in conservation might be broadened by changing attitudes on the importance of human action theories for research; incorporating social theory in conservation education; asking reviewers to comment on theory usage and mandating theory reporting; creating spaces for social scientists and theory scholars; providing social scientists and theorists with decision-making power in organizations; rewarding theory use; recognizing feedback loops among theory use; and replacing colonial and capitalistic approaches to conservation.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.269
GPT teacher head0.478
Teacher spread0.208 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2025
Admission routes1
Has abstractyes

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