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Record W4320343035 · doi:10.5281/zenodo.6998787

Legal Solutions to Reduce the Environmental Burdens of Disposables. A Comparison of EU, Canadian and Swiss Law

2022· dissertation· en· W4320343035 on OpenAlexaboutno aff
Christine Bühler

Bibliographic record

VenueOpen MIND · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsLawBusinessPolitical science

Abstract

fetched live from OpenAlex

This thesis compares the legal solutions regulating disposables in the European Union (EU), Canada, and Switzerland. It analyzes whether they explicitly intend or implicitly are capable of reducing environmental burdens caused by producing, using, and disposing of such goods. Contrary to common practice, this thesis advocates the use of the term «disposable» or «throwaway», instead of «single-use», for describing the group of products or goods which have been designed and, thus, intended to be used only once, a few times, or for a short period of time. The research findings illustrate that numerous existing legal solutions are beneficial for preventing environmental harm, yet, many of them should be revised in order to have an even greater impact. None of the three jurisdictions examined provide satisfactory, effective and sufficient legal provisions: Environmental costs generated by manufacturing, using and disposing of disposables are not sufficiently internalized; too few incentives exist for inducing people to replace disposables with reusables; disposables need nowhere be replaced by reusables; there is a great lack of implementation of the waste priority order as well as the principle of sustainability, the precautionary principle, and the polluter pays principle; and the transition to a circular economy is not sufficiently pursued. The three jurisdictions as well as their existing legal solutions are far from best practice with respect to protecting the environment from harm caused by manufacturing, using, and disposing of disposables. Nevertheless, there are certain aspects entailed in some of the existing legal provisions which should be adopted by all three. The findings in this thesis allow the conclusion that the EU, Canada, and Switzerland only have a very fragmented approach and a holistic concept is missing. Moreover, Switzerland is the country lagging behind the most.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.359
Teacher spread0.316 · 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 teacher head, not a consensus.

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
Published2022
Admission routes1
Has abstractyes

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