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Record W1979908815 · doi:10.1177/0013916505277999

Environmental Activism in the Forest Sector

2006· article· en· W1979908815 on OpenAlexaffabout
Bonita L. McFarlane, Len M. Hunt

Bibliographic record

VenueEnvironment and Behavior · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsMinistry of Natural Resources and ForestryNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsResidenceStructural equation modelingContext (archaeology)EnvironmentalismMacroMacro levelSociologyPolitical scienceGeographyEconomicsEconomic systemPolitics

Abstract

fetched live from OpenAlex

Forest management in North America has been a focus of environmental activism directed at changing forest policy and management practices. To understand the causal influences of activism directed at the forest sector, a mail survey was distributed to residents of Ontario, Canada, in 2001. A structural equation model provided support for a model of environmental activism based on social psychological and social-cultural variables shaping attitudes and influencing behavior. The contextual effect of region of residence produced significant interaction effects. Results provide support for an elaborated model of environmental activism that includes an individual’s characteristics interacting with macro-factors such as the social, economic, and cultural context in which activism occurs.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.143
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.215
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 source (direct Gemma or distilled Codex), 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

Citations71
Published2006
Admission routes2
Has abstractyes

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