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Record W2112903263 · doi:10.1177/0270467603256079

Student Inquiries into Neglected Research for a Sustainable Society: Communication and Application

2003· article· en· W2112903263 on OpenAlexaff
Joshua M. Pearce, Chris Russill

Bibliographic record

VenueBulletin of Science Technology & Society · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsCarleton UniversityWestern University
Fundersnot available
KeywordsSustainabilityAction (physics)Interpersonal communicationState (computer science)Action researchSustainable developmentPolitical scienceEngineering ethicsPublic relationsManagement scienceSociologyEngineeringComputer sciencePedagogyEcologySocial scienceLaw

Abstract

fetched live from OpenAlex

By applying the interdisciplinary approach of science, technology, and society, students can solve often-neglected research problems of shifting society's operation toward a sustainable state. A recent Penn State University student research report titled The Mueller Report: Moving Beyond Sustainability Indicators to Sustainability Action contained a detailed ecological analysis of one campus building and addressed methods to optimize its ecological performance in terms of sustainability by using both behavioral and technological improvements. This article analyzes the factors that affected the successful implementation of sustainable practices generated by student research: (a) choosing a receptive primary audience, (b) establishing interpersonal relationships with decision makers, (c) saturating the local media, (d) making sustainability convenient, and (e) demonstrating fiscal responsibility.

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)0.026
metaresearch head score (Gemma)0.091
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.091
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0080.008
Scholarly communication0.0150.008
Open science0.0020.015
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0130.004

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 head0.027
GPT teacher head0.413
Teacher spread0.386 · 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.

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

Citations4
Published2003
Admission routes1
Has abstractyes

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