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Record W4396508477 · doi:10.22215/etd/2024-15919

Biological Effects and Baseline Measures of Naturally Occurring Radioactive Materials in Freshwater Fish of the Athabasca Oil Sands Region

2024· dissertation· en· W4396508477 on OpenAlexafffundabout
Evaline J. Harmsen

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicRadioactive contamination and transfer
Canadian institutionsCarleton University
FundersNuclear PhysicsEnvironment and Climate Change CanadaUniversity of Ottawa
KeywordsRadioecologyEnvironmental scienceWildlifeNorm (philosophy)Oil sandsEcosystemGeographyEcologyRadionuclideArchaeologyBiologyPolitical science

Abstract

fetched live from OpenAlex

Naturally Occurring Radioactive Material (NORM) is understudied in the Alberta Oil Sands Region.Elevated NORM levels reduce growth, fertility, and life expectancy in wildlife, negatively impacting the ecosystem.This study examines NORM in fish of the AOSR, including its (1) composition and concentration, (2) relationship to other contaminants in the AOSR, and (3) biological effects on wildlife.Gamma spectrometric analysis was used to measure NORM activity in northern pike (Esox lucius) and lake whitefish (Coregonus clupeaformis), collected from the Gardiner Lakes and Peace-Athabasca Delta.Activity concentrations of NORM isotopes were measured.Activity concentrations of isotopes originating from the 232 Th and 238 U decay series were present in freshwater fish in the AOSR.Concentrations of 232 Th and 238 U decay series isotopes were found to be higher downstream of the AOSR in the PAD.This study contributes to the broader scientific understanding of NORM and can inform effective management and remediation strategies to address contamination issues in the oil sands industry.x

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.422

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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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 designBench or experimental
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

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

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