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Record W7079448674 · doi:10.26108/knpa-xf65

Distribution of the leatherback turtle, Dermochelys coriacea, in Atlantic Canada: evidence from an observer program, aerial surveys, and a volunteer network of fish harvesters

2000· article· en· W7079448674 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2000
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatForagingAerial surveyEndangered speciesRange (aeronautics)FishingNova scotiaFish <Actinopterygii>

Abstract

fetched live from OpenAlex

The globally endangered leatherback turtle ('Dermochelys coriacea ') occurs seasonally in the waters off Atlantic Canada; however, the significance of these waters to this species has not been previously clarified due to a paucity of records. To enhance the collection of leatherback turtle biological and environmental data in this region, a volunteer network of commercial fishers and whale watch operators was established (The Nova Scotia Leatherback Turtle Working Group). In 1998, this group reported the details of 171 geo-referenced sightings of leatherbacks. These records, combined with others collected from an observer program and aerial surveys, provide new insight into the spatial and temporal distribution of leatherbacks in Atlantic Canada. Leatherback density was highest in August and the majority of turtles were observed inshore from the continental shelf break (200m isobath). Mean sea surface temperature (SST) associated with 1998 sightings was 17.8C. Records from temperate and boreal latitudes (where SST &lt; 5C) attest to this species' remarkable capacity for endothermy. Medusivory was confirmed by photo-documented feeding behaviour in nine turtles. The results of this study suggest that eastern Canadian waters are within the regular range of large numbers of migrating leatherbacks and should be considered critical seasonal foraging habitat for this species.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.743

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 science0.0010.000
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 head0.018
GPT teacher head0.223
Teacher spread0.205 · 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 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

Citations0
Published2000
Admission routes1
Has abstractyes

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