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Record W1560481081 · doi:10.1108/ijshe-04-2014-0059

How an entry-level, interdisciplinary sustainability course revealed the benefits and challenges of a university-wide initiative for sustainability education

2015· article· en· W1560481081 on OpenAlexaff
Nicholas C. Coops, Jean Marcus, Ileana Construt, Erica Frank, Ron Kellett, Eric Mazzi, Alison Munro, Susan Nesbit, Andrew Riseman, John Robinson, Anneliese Schultz, Yona Sipos

Bibliographic record

VenueInternational Journal of Sustainability in Higher Education · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsUniversity of British Columbia HospitalBC Research (Canada)
Fundersnot available
KeywordsSustainabilityCurriculumOriginalityEngineering ethicsCurriculum developmentHigher educationSustainability scienceSustainability organizationsMedical educationPedagogySociologyEngineeringPolitical scienceMedicineQualitative researchSocial science

Abstract

fetched live from OpenAlex

Purpose – Delivery of sustainability-related curriculum to undergraduate students can be problematic due to the traditional “siloing” of curriculum by faculties along disciplinary lines. In addition, while there is often a ready availability of courses focused on sustainability issues in the later years of students’ programs, few early entry-level courses focused on sustainability, broad enough to apply to all disciplines, are available to students in the first year of their program. Design/methodology/approach – In this paper, we describe the development, and preliminary implementation, of an entry-level, interdisciplinary sustainability course. To do so, the authors describe the development of a university-wide initiative designed to bridge units on campus working and teaching in sustainability areas, and to promote and support sustainability curriculum development. Findings – The authors describe the conceptual framework for organising course content and delivery. The authors conclude with an informal assessment of the successes and challenges, and offer learning activities, student assessments and course administration recommendations for consideration when developing courses with similar learning goals. Originality/value – The positive and negative experiences gained through developing and offering a course of this nature, in a large research-focused university, offers knew insights into potential barriers for implementing first-year cross-cutting sustainability curriculum.

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 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)0.007
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.083
GPT teacher head0.386
Teacher spread0.303 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations44
Published2015
Admission routes1
Has abstractyes

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