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Record W4255138869 · doi:10.15273/pnsis.v50i2.10004

Early entanglement of Nova Scotian marine animals in pre-plastic fishing gear or maritime debris: indirect evidence from historic ‘sea serpent’ sightings

2020· article· en· W4255138869 on OpenAlexafffundvenueabout

Bibliographic record

VenueProceedings of the Nova Scotian Institute of Science · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsDalhousie University
FundersDalhousie UniversityMystic Seaport Museum
KeywordsFishingMarine debrisNova scotiaBycatchMarine lifeFisheryGeographyDebrisOceanographyGeologyArchaeologyMeteorology

Abstract

fetched live from OpenAlex

Marine environmental historians and ethnobiologists have resorted to imaginative means with which to back-cast the temporal frame of reference in order to assess recent anthropogenic changes. The present study, in support of previous work from around the world, indicates that anecdotal accounts from eyewitnesses of purported sightings of sea serpents provides indirect evidence that marine animals in Nova Scotia have been subjected to anthropocentric pressure for a much longer period than commonly presumed. This involves not only direct fishery exploitation, but also perhaps from being bycatch due to entanglement in deployed gear.Key words: Unidentified marine object, entanglement, fishing gear

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.631
Threshold uncertainty score0.733

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.229
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2020
Admission routes4
Has abstractyes

Explore more

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