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Record W7027980313

The Distribution and Fate of Microplastic Pollution in Polar Environments

2023· dissertation· en· W7027980313 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueOpen Research Exeter (University of Exeter) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
FundersBritish Antarctic SurveyNatural Environment Research CouncilUniversity of ExeterUK Research and Innovation
KeywordsMicroplasticsPlastic pollutionArcticPollutionMarine debrisPollutantMarine pollutionPelagic zone
DOInot available

Abstract

fetched live from OpenAlex

The distribution of microplastics in polar regions is relatively unknown, but it is key to understanding the fate and potential impact of this pervasive and complex pollutant in these remote and threatened environments. This thesis focuses on the most accessible and arguably vital matrix in which microplastics may exist in the Arctic and Antarctic; the near-surface environments such as seawater and snow. Although likely to be transient, microplastics in these matrices present a direct interface between humans (the polluter) and the environment (the polluted). Determining distribution at the surface is vital to understanding the impact of an increasing human presence in these regions and an increasing human footprint via long-range transport. Three distinct environments have been explored in this thesis to provide data on the characteristics and concentrations of microplastics and facilitate the development of methods that enable perceived “pristine” environments to be effectively and rigorously investigated. In both the Canadian Arctic and the Southern Ocean, this thesis shows that microplastic concentrations are low compared with global concentrations. In the Arctic, it is shown that a 300 µm mesh, which has typically been used in marine microplastic research, retains only 6% of the particulate, which can be potentially captured on a 50 µm mesh, therefore significantly underestimating microplastic abundance and overlooking the characterisation of the most bioavailable size fraction to polar ecosystems. In the Southern Ocean, although concentrations are low, it is demonstrated that these are significantly high enough for microplastics to be encountered and therefore potentially ingested by pelagic amphipods. With little known about the subsidiary impacts of microplastics on the biogeochemistry of other pollutants in the Southern Ocean, an experiment exploring the impact of microplastics on mercury uptake by Antarctic krill has been carried out. Results from this ship-based laboratory experiment indicate that virgin microplastics, compared to particulate organic matter, play an insignificant role in mercury uptake by Antarctic krill. As methods developed, the final environmental dataset collected in Antarctic snow was analysed using automated analysis, revealing remarkably high concentrations of the smallest microplastics, heterogeneously distributed in continental Antarctica. These findings provide valuable insight into the distribution and potential fate of microplastics in polar environments whilst also providing vital information on the methods of carrying out polar plastics research. In combination, this is key to providing an evidence base for needs and ways to monitor and understand the impact of microplastics in remote polar regions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score0.999

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 science0.0010.001
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 head0.029
GPT teacher head0.274
Teacher spread0.246 · 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