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Record W7017166926

An account of sustainability : Failure, success and a reconceptualization

2001· article· en· W7017166926 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityGray (unit)Construct (python library)Sustainable developmentProcess (computing)Environmental accounting
DOInot available

Abstract

fetched live from OpenAlex

The concept of sustainable development (SD) has a pre-eminent place in the environmental policy agenda where it is defined as “development which meets the needs of the present without compromizing the ability of future generations to meet their own needs" (United Nations World Conference Environment and Development, 1987, p. 8). Within the accounting literature, research activity has focused on what SD may mean for business and accounting activity (see, for example, Batley & Tozer, 1993; Canadian Institute Chartered Accountants, 1993; Gray, et al., 1993; Gray, 1994; Rubenstein, 1994; Geno, 1995; Stone, 1995; Gray & Bebbington, 1996; Milne, 1996; and Bebbington & Thomson, 1996). As part of this literature Gray (1992) proposes the construction of an “account of sustainability" utilizing the idea of a sustainable cost calculation (SCC) which attempts to measure the additional costs which would be borne by the organization if the organization’s activities were not to leave the planet worse off at the end of an accounting period. This paper reports on an attempt to construct a SCC for Manaaki Whenua, Landcare Research New Zealand Ltd. The paper explains why such an account was attempted, outlines the SCC, reviews the attempt to perform the calculations and reflects on the tensions which emerged from the case. The case, while being unsuccessful because it failed to produce the numbers expected, was successful in that it highlighted conceptual mis-specifications of the SCC. This paper builds on this insight and attempts to theorize the research process and reconceptualize the SCC in a manner which seeks to avoid the pitfalls of the original SCC.

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)0.036
metaresearch head score (Gemma)0.038
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 score0.037
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.038
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0130.083
Scholarly communication0.0370.048
Open science0.0050.022
Research integrity0.0100.014
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.237
Teacher spread0.218 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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