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Sovereign Citizens and Constrained Consumers: Why Sustainability Requires Limits on Choice

2013· article· en· W2088223223 on OpenAlexaff
Susanne Menzel, Tom Green

Bibliographic record

VenueEnvironmental Values · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSustainabilitySovereigntyPresumptionContext (archaeology)BusinessConsumption (sociology)Action (physics)Resistance (ecology)Ecosystem servicesEconomicsEnvironmental resource managementPolitical scienceSociologyEcologyEcosystemLaw

Abstract

fetched live from OpenAlex

There is resistance to policies that would reduce overall consumption levels to promote sustainability. In part, this resistance is aided by the economic concept of consumer sovereignty (CS) and its presumption that choice promotes wellbeing. We investigate the concept of consumer sovereignty in the context of deepening concerns about sustainability and scrutinise whether the two concepts are compatible. We draw on new findings in psychology on human decision-making traits; we take into account increasing awareness about human dependencies on ‘functioning’ ecosystems and uncertainties on how ecosystems, human activities and human wellbeing are interlinked. We conclude that commitment to the concept of consumer sovereignty is incompatible with sustainability due to human characteristics, the difficult-to-predict behaviour of ecological systems and ignorance about the impact of human action on natural systems. We propose that the choice-set of available goods and services on markets should be constrained when consumption patterns can be linked to degradation of services provided by nature when those services are seen as crucial for human wellbeing. We advocate constraining the available choice-set through established governmental institutions aided by deliberative processes that engage members of the general public. Finally, we acknowledge that such processes are imperfect; nevertheless, we foresee that they will be essential for fostering wise decision-making and moving towards sustainability.

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)0.004
metaresearch head score (Gemma)0.015
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.017
Scholarly communication0.0050.008
Open science0.0010.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.053
GPT teacher head0.213
Teacher spread0.160 · 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

Citations12
Published2013
Admission routes1
Has abstractyes

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