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Shoreline Contamination Report 2015 SS Arrow Spill Chedabucto Bay, NS, Canada

2021· article· en· W4206516517 on OpenAlexaffabout
Shannon M. MacDonald, Leanne Zrum, Stéphane Grenon, Sonia Laforest, Patrick Lambert

Bibliographic record

VenueInternational Oil Spill Conference Proceedings · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsShoreBayOil spillEnvironmental scienceCoast guardNova scotiaOceanographyGeographyContaminationFisheryEnvironmental protectionArchaeologyGeologyEcology

Abstract

fetched live from OpenAlex

The 1970 SS Arrow incident in Chedabucto Bay, Nova Scotia (NS) was a milestone event in Canada's oil spill response history and has been used by Environment and Climate Change Canada (ECCC) for ongoing research for almost 50 years. In August of 2015, the remaining sunken section of the SS ARROW released Bunker C oil from its tanks and some sections of shorelines impacted in 1970 were affected once again. The Canadian Coast Guard led the 2015 response effort, which included Shoreline Clean-Up and Assessment Technique (SCAT) surveys, to evaluate the contamination on the shorelines of Chedabucto Bay. This poster presents an overview of the 1970 event as well as the shoreline contamination resulting from the 2015 release from the SS Arrow. It summarizes the SCAT survey results and the operational response of the ECCC's National Environmental Emergencies Centre (NEEC) in support of the incident.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.510
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)0.0060.000

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 head0.011
GPT teacher head0.238
Teacher spread0.227 · 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 designNot applicable
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
Published2021
Admission routes2
Has abstractyes

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