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Record W4412282527

Framing Waste as a Common Treasury to Facilitate the Circular Economy

2023· article· en· W4412282527 on OpenAlexaff
Katrien Steenmans

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsTreasuryFraming (construction)Circular economyBusinessEconomyEconomicsPolitical scienceEngineeringLawCivil engineeringEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The unsustainable amounts of waste currently produced are hugely problematic – resources are being ‘wasted’ and there are numerous issues related to current waste management operations. Many different laws and policies have been introduced to tackle the ‘wicked’ problem of the existing waste crisis, including on the circular economy in which wastes and resources are ‘looped’ back into systems through reuse, recycling, and other recovery to promote sustainable development. Yet, these have neither had the desired nor required transformative effect. This chapter therefore examines recasting waste as a common treasury that may, combined with other existing laws and policies, incentivise the prevention and sustainable circular management of waste. Malcolm and Clarke’s understanding of the concept of common treasury to describe the physical nature and importance of a resource, rather than its legal nature, is adopted in this chapter. The aim of this chapter is two-fold. First, the possible benefits of reconceiving waste as a common treasury are evaluated. Second, the impacts of the private, communal, state, and no property in waste are examined to identify the most appropriate property scheme for waste to operate as a common treasury. This chapter therefore contributes to furthering arguments introduced by Malcolm and Clarke on the notion of common treasury, and their consideration of the most fitting property interests, by investigating the particular example of the man-made resource of waste in contrast to their examination of a natural resource, water

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2750.276

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 head0.050
GPT teacher head0.250
Teacher spread0.200 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueResearch at the University of Copenhagen (University of Copenhagen)Same topicSustainable Development and Environmental PolicyFrench-language works237,207