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Record W3120212504

Microplastic Contamination of the Canadian Archipelago

2018· article· en· W3120212504 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

VenueURSCA Proceedings · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMicroplasticsEnvironmental scienceBayPollutionContaminationOceanographyDeposition (geology)SedimentArcticArchipelagoGeologyPhysical geographyGeographyGeomorphologyEcology
DOInot available

Abstract

fetched live from OpenAlex

Microplastics (MPs) are considered to be synthetic polymeric material <5mm in size and originate from either primary sources, those manufactured to be <5mm in size, or from the breakdown of larger pieces by physical, chemical and radioactive processes. These fragments may become small enough to allow them to be ingested and bio-accumulate. MP pollution has been recorded in marine sediments in nearly all of the Earth’s oceans and has been recently quantified in Greenlandic sea ice and Greenlandic sea way sediments. An independent research project with Drs Matthew Ross, Anna Pienkowski and Mark Furze in the Fall of 2017 quantified MP pollution in Frobisher Bay sediments. Eleven samples were collected during the 2017 summer expedition aboard the CCG Amundsen ice breaker. They were taken in a linear fashion within Frobisher Bay allowing for the correlation of MP deposition and proximity to anthropogenic habit in the area. Extraction procedures were based on modifications of standard methods developed by the National Oceanic and Atmospheric Administration. This includes four procedures which aimed to separate MPs from sediments and micro-organic materials by exploiting differing density and dissolution properties. We collected sieved MPs of five size ranges via vacuum filtration onto 0.45μm filter paper for analysis. Subsequent visual mapping allowed large scale processing of data and pinpoints areas of interest for spectral analysis. Using Raman microscopy, polymer identification may allow us to understand sources and migratory patterns of MPs. This process allowed us to quantify MP contamination in Arctic sediments enhancing global data sets for future research into MP source, transport and fate. We can conclude that MP contamination is found at higher concentrations nearest the City of Iqaluit relative to mouth of Frobisher Bay with averages ranging between 13.08 MPs per gram of sediment (mp/gs) and 5.31 mp/gs respectively. This suggests that relatively small communities can have a significant impact on MP contamination levels in secluded oceanic bays. I look forward to the opportunity to further disseminate microplastic contamination research as it is vital in increasing public awareness and pressure on policy makers to initiate mitigation and reclamation of this very important global issue. *Indicates presenter

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.987

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)0.0010.000

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 head0.006
GPT teacher head0.185
Teacher spread0.179 · 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