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Record W1992005294 · doi:10.3200/joee.35.3.19-27

Impact of a University-Level Environmental Studies Class on Students' Values

2004· article· en· W1992005294 on OpenAlexaff
Emily McMillan, Tarah Wright, Karen Beazley

Bibliographic record

VenueThe Journal of Environmental Education · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsDalhousie University
Fundersnot available
KeywordsClass (philosophy)SophisticationEnvironmental educationPsychologyMathematics educationPedagogySociologySocial science

Abstract

fetched live from OpenAlex

This study evaluates the impact of an introductory university-level environmental studies class on the environmental values of students. Interviews and questionnaires were used to determine whether values changed or developed after taking the class. Three stage unstructured interviews were conducted throughout the academic year. Questionnaires were administered in a pretest, posttest fashion at the beginning and the end of the 8-month class. The students were found to deepen their environmental values after taking the class, becoming more ecocentric, and less homocentric. They showed greater sophistication in their answers to the final questionnaire and interview questions. The participants reported that the components of the class that had the greatest effect on their values were the ecological footprint exercise and the video "Who's Counting."

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.002

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 head0.015
GPT teacher head0.307
Teacher spread0.291 · 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

Citations126
Published2004
Admission routes1
Has abstractyes

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