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Record W2769042454 · doi:10.1108/ijotb-15-04-2012-b004

University sustainability and system ontology

2012· article· en· W2769042454 on OpenAlexaff
Grant Aguirre, David M. Bøje, Melissa Cast, Suzanne L. Conner, Catherine A. Helmuth, Rakesh Mittal, Rohny Saylors, Nazanin Tourani, Sebastien Vendette, Tony Qiang Yan

Bibliographic record

VenueInternational Journal of Organization Theory and Behavior · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsWorkplace Health, Safety and Compensation Commission
Fundersnot available
KeywordsSustainabilityDialogicIntervention (counseling)Interface (matter)SociologyIdentity (music)Dimension (graph theory)Knowledge managementPerspective (graphical)Sustainable developmentEngineering ethicsComputer sciencePublic relationsPolitical sciencePedagogyPsychologyEngineeringAestheticsPhilosophyArtificial intelligenceEcology

Abstract

fetched live from OpenAlex

This intervention study outlines the continuing journey of a university towards its sustainability potentiality. We introduce the importance of sustainable development and link it to our intervention study of potentiality for sustainability from a Heideggerian phenomenological perspective. Through a case study of sustainability at New Mexico State University, we provide an insight into the development of a new dimension of university sustainability interface. This interface exists in terms of a dialogic of sustainability, as it relates to the balancing of competing needs, such as efficiency, heart, and brand identity. An important aspect of this interface is intervention, highlighting new possibilities for the top administrators regarding the university's goals and environmentalities. A qualitative and interpretive approach using ontological storytelling inquiry is employed. Data for the study were collected through in-depth interviews with university members from all hierarchical levels. This article raises interesting ontological issues for sustainability researchers, and has implications for strategy as practice.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.016
Scholarly communication0.0080.009
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.007
GPT teacher head0.306
Teacher spread0.299 · 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 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

Citations4
Published2012
Admission routes1
Has abstractyes

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Same venueInternational Journal of Organization Theory and BehaviorSame topicSustainability in Higher EducationFrench-language works237,207