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Record W2049637209 · doi:10.1002/sd.300

Solid waste as an indicator of sustainable development in Tortola, British Virgin Islands

2006· article· en· W2049637209 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSustainable Development · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicMunicipal Solid Waste Management
Canadian institutionsnot available
FundersDalhousie UniversityUniversity of Salford Manchester
KeywordsSustainabilityPosition (finance)Sustainable developmentProcess (computing)Unit (ring theory)Natural resource economicsDimension (graph theory)Consumption (sociology)Municipal solid wasteWaste materialBusinessEnvironmental resource managementEnvironmental economicsEnvironmental planningEconomicsGeographyEngineeringWaste managementPolitical scienceEcologyComputer scienceSociology

Abstract

fetched live from OpenAlex

Abstract Many Caribbean islands are neglecting the role of waste in monitoring and assessing progress towards sustainability. Arguing that the material basis of the economic process dictates that solid waste should be among the priority indicators for small island developing states and territories, the paper explores the utility of waste as an indicator in Tortola in the British Virgin Islands. Substantial growth in waste quantities is challenging the island's capacity to process and assimilate wastes. Analysis of available data provided evidence of increasing consumption by residents and tourists, and increasing material intensity per unit economic output – unsustainable trends, which, if unaddressed, would result in Tortola moving away from sustainability. It is concluded that Tortola is in a good position to implement the use of waste as an indicator within its policy framework and could develop an understanding of the material dimension of its economic process, thereby providing an example for other Caribbean islands in assessing progress towards sustainability. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.223
Teacher spread0.219 · 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