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Record W2102546691 · doi:10.1002/bse.1773

Transdisciplinary Study of Sustainable Enterprise

2013· article· en· W2102546691 on OpenAlex

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

VenueBusiness Strategy and the Environment · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsConcordia University
FundersLeuphana Universität LüneburgNational Science Foundation
KeywordsTransdisciplinaritySustainabilityDisciplineStakeholderStakeholder engagementCorporate sustainabilitySociologyKnowledge managementWork (physics)Sustainability organizationsBusinessEngineering ethicsPolitical sciencePublic relationsSocial scienceEngineeringComputer scienceEcology

Abstract

fetched live from OpenAlex

ABSTRACT Our research explores more holistic ways of understanding and creating sustainable enterprises. Enterprises and business school scholars are two primary actors in this research endeavor. Enterprises are moving towards sustainability but with a partial and selective understanding of global sustainability. Business school scholars generally study sustainability in their respective functional areas, such as management, accounting, finance and marketing, with some notable exceptions. We suggest that transdisciplinarity offers a unique real‐world problem‐solving framework that crosses disciplinary boundaries and the academic–practitioner divide. We explore the nature of transdisciplinarity and its application to corporate sustainability. We argue that enterprise sustainability requires trans‐functional, trans‐disciplinary, trans‐stakeholder, trans‐aesthetic and trans‐human knowledge that is possible through transdisciplinarity. We provide an example of transdisciplinary work in art and sustainable enterprise. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.363
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.188
Teacher spread0.181 · 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