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Record W4285464585 · doi:10.32920/ryerson.14664690.v1

The application of an early-warning biomonitoring system (EWBS) in a Canadian context

2021· preprint· en· W4285464585 on OpenAlexafffundabout
Andrea Dort

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsToronto Metropolitan UniversityMemorial University of Newfoundland
FundersIndigenous and Northern Affairs CanadaEuropean CommissionWorld Health OrganizationU.S. Environmental Protection Agency
KeywordsBiomonitoringContext (archaeology)Daphnia magnaEnvironmental scienceUpstream (networking)Environmental protectionEnvironmental planningWarning systemEnvironmental resource managementEnvironmental healthGeographyEcologyBiologyEngineeringChemistryArchaeology

Abstract

fetched live from OpenAlex

A nationwide jurisdictional analysis of drinking water frameworks was conducted to identify the political backdrop for the integration of the EWBS. Canada demonstrates no consistency in drinking water regulations and policies for EWBS application. While it is not possible for all specific contaminants to be monitored, the EWBS has the potential to effectively detect classes of contaminants applicable nationwide. A case study site was investigated for potential use of the EWBS. The general finding indicated that, despite having an advanced plant, unpredicted spills from upstream industries will continue to represent potential hazards for Walpole Island First Nation. Copper was identified as a contaminant of concern for the study site and was applied in behavioural bioassays using Daphnia magna. Three responses were examined upon exposure to varying concentrations of copper and results indicated change in swimming height as the most sensitive response for utility in an EWBS, followed by immobility.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.132
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes3
Has abstractyes

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