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Record W2068360732 · doi:10.1080/15330150590911412

Interdisciplinary Environmental Education: Communicating and Applying Energy Efficiency for Sustainability

2005· article· en· W2068360732 on OpenAlex
Joshua M. Pearce, Chris Russill

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Environmental Education & Communication · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsCarleton University
Fundersnot available
KeywordsAllianceSustainabilityCurriculumEnvironmental educationDisciplineEfficient energy useEngineering managementEngineering ethicsEnvironmental economicsBusinessPolitical scienceEngineeringSociologyEconomicsEconomic growthPedagogySocial scienceEcology

Abstract

fetched live from OpenAlex

This article demonstrates that interdisciplinary alliances on environmental education projects can effectively address the gap between complex environmental problems in the real world and disciplinary curricula in a university. We describe an alliance between an advanced communication course and a general science course wherein we addressed interconnections of energy efficiency, economics, and global climate change with respect to their impact on individuals, local businesses, and society. This project established that an interdisciplinary environmental project focused on local solutions to global problems is both a valuable learning tool for students and an effective method of accelerating the application of appropriate technologies.[environmental communication, environmental education, interdisciplinary, sustainability]

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.823
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
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 head0.009
GPT teacher head0.317
Teacher spread0.307 · 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