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Record W4318711798 · doi:10.1002/sd.2507

Circular economy at the company level: An empirical study based on sustainability reports

2023· article· en· W4318711798 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

VenueSustainable Development · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsUniversité Laval
FundersEuskal Herriko Unibertsitatea
KeywordsReuseCircular economySustainabilityReductionismBusinessWork (physics)Empirical researchPoint (geometry)Core (optical fiber)Industrial organizationMarketingComputer scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Circular economy (CE) has attracted both media and academic interest. However, there is a lack of empirical work that clarifies the specific activities involved in CE at the firm level. To fill this gap, this article offers an analysis of how firms disclose information about their activities associated with CE, based on an extensive worldwide dataset of sustainability reports from 1367 companies. The findings point to a rather limited, superficial and reductionist use of the concept of CE by firms. The concept of CE is only mentioned in around 16% of cases, and, when it is mentioned, it is mostly associated with conventional practices such as waste management and recycling. Conversely, core practices associated with CE, such as reduction, reuse, and remanufacture, are rarely considered. Further avenues for research and implications for managers, public policy makers and other stakeholders are discussed.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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