MétaCan
Menu
Back to cohort
Record W2047992105 · doi:10.1002/bse.509

Identifying priorities for action in corporate sustainable development indicator programs

2006· article· en· W2047992105 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBusiness Strategy and the Environment · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic Procurement and Policy
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsKey (lock)Process (computing)Sustainable developmentAction (physics)Process managementIdentification (biology)Risk analysis (engineering)BusinessComputer scienceManagement scienceEconomicsComputer securityPolitical scienceEcology

Abstract

fetched live from OpenAlex

Abstract This paper presents a case study on the identification of key sustainable development issues for the transmission system of an electric utility. It provides a structured approach to identifying priorities for action within existing corporate infrastructure. The application of the process is discussed, with an emphasis on strategies for the selection of priorities for immediate action, illustrating linkages between the selected key issues and lessons learned. To demonstrate how the issues may lead to the development of indicators, example sustainable development indicators are presented for a selected key issue. The case study illustrates that key stakeholders must be involved throughout the entire process, that the process of developing the issues and indicators is just as important as the final result and that any indicator development process must build on existing corporate infrastructure wherever possible. Copyright © 2006 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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.530

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.043
GPT teacher head0.226
Teacher spread0.183 · 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