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Record W2046623431 · doi:10.3200/joee.40.3.27-36

Youth and Environmental Action: Perspectives of Young Environmental Leaders on Their Formative Influences

2009· article· en· W2046623431 on OpenAlexaff
Heather E. Arnold, Fay G. Cohen, Alan Warner

Bibliographic record

VenueThe Journal of Environmental Education · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsAcadia UniversityDalhousie University
Fundersnot available
KeywordsEnvironmental educationFormative assessmentAction (physics)PsychologyAction researchSocial psychologyDevelopmental psychologyPedagogy

Abstract

fetched live from OpenAlex

The authors conducted interview research with young environmental leaders to discover the past influences that they perceive have contributed to their current involvement in environmental action. In all, 12 young people participated in semistructured, in-depth interviews. They met clear criteria including positive environmental attitudes, behavior, initiative, and involvement in multiple spheres of action. The main self-identified influences on their environmental action were parents, experiences outdoors in childhood, friends, role models, teachers, and youth groups and conferences or gatherings. These results build on and extend previous research on significant life experiences of adult environmentalists and also deepen the understanding of the nature and combination of these influences with young people.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.012
GPT teacher head0.258
Teacher spread0.246 · 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 designQualitative
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

Citations168
Published2009
Admission routes1
Has abstractyes

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