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Record W4387245863 · doi:10.14207/ejsd.2023.v12n3p91

Sustainability in a Sand-Depleted World: Identifying Barriers to Adoption of Sand Substitutes

2023· article· en· W4387245863 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEuropean Journal of Sustainable Development · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Industrial Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSustainabilityBusinessSand miningEnvironmental resource managementEnvironmental planningNatural resource economicsGeographyEconomicsEcology

Abstract

fetched live from OpenAlex

The global sand crisis has gained considerable attention among environmentalists over the last few years, and the United Nations has proposed some initiatives to reduce the use of river sand. Despite the existence of a number of promising sustainable alternatives to alluvial sand, there has been little effort to implement those initiatives in the construction industry. This paper attempts to develop a better understanding of barriers and challenges related to the adoption of sustainable substitutes for sand in the construction industry. An online survey designed by the authors was distributed among construction industry professionals located in 35 US states and 7 Canadian provinces. The findings from 344 respondents show that different stakeholders in construction have different priorities and concerns when it comes to sustainable sand substitutes, with some focusing more on the technical and practical aspects, while others focus more on the long-term and environmental aspects. Keywords: : Construction industry, sand crisis, barriers, awareness, sand substitutes

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.238
Teacher spread0.197 · 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