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Record W4404664616 · doi:10.1007/s10661-024-13424-1

A cross-regional ecological assessment of contaminants in soils intended for agri-food initiatives on Indigenous Peoples’ lands in Australia and Canada

2024· article· en· W4404664616 on OpenAlexafffundabout
Robert J. Moriarity, Meaghan J. Wilton, Leonard J. S. Tsuji, Atanu Sarkar, Eric N. Liberda

Bibliographic record

VenueEnvironmental Monitoring and Assessment · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsUniversity of TorontoMemorial University of NewfoundlandToronto Metropolitan UniversityToronto Public Health
FundersCanadian Institutes of Health ResearchGovernment of CanadaAustralian Government
KeywordsSoil waterEnvironmental scienceEnvironmental protectionSubarctic climateAgricultureContaminationIndigenousSoil contaminationGeographyEcologyBiology

Abstract

fetched live from OpenAlex

Globally, soil contamination threatens ecosystems and food security. This study examines the contamination of soils intended for agri-food initiatives by Indigenous communities across New South Wales and Queensland, Australia, and Newfoundland and subarctic Ontario, Canada. Soils from 47 sites were tested for metals, metalloids, organochlorine (OC) pesticides, and polychlorinated biphenyls (PCBs) to assess ecological risks and compare against national guidelines. Australian soils were primarily contaminated with lead (Pb) and to a lesser extent with other metals and metalloids, whereas subarctic Ontario soils were heavily contaminated with OC pesticides, and to a lesser extent metals and metalloids. Newfoundland soils contained arsenic (As) concentrations exceeding agricultural soil guidelines with limited OC levels. The contaminants from these sites stem from both anthropogenic activities and natural geological sources; however, their precise origins-whether from the historical use of banned substances or mineral extraction-are not fully elucidated for all sites. This article specifically highlights the need to assess soil to be used in agri-food initiatives for contaminants in rural and remote landscapes in Indigenous homelands worldwide and, in general, for all soil to be used in any agri-food initiative.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.030
GPT teacher head0.337
Teacher spread0.307 · 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 designObservational
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

Citations6
Published2024
Admission routes3
Has abstractyes

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