MétaCan
Menu
← Back to cohort
Record W7104103072 · doi:10.14286/sjgryq

OTN VR2W Loan - Cabo Verde: Nurse and Lemon shark.

2015· dataset· en· W7104103072 on OpenAlexaffabout

Bibliographic record

VenueOpen MIND · 2015
Typedataset
Languageen
Field
Topic
Canadian institutionsOcean Tracking Network
Fundersnot available
KeywordsHabitatCape verdePelagic zoneExclusive economic zoneReservationOverexploitationSustainability

Abstract

fetched live from OpenAlex

This is the OBIS extraction of the Ocean Tracking Network and Dalhousie University (DAL) OTN VR2W Loan - Cabo Verde: Nurse and Lemon shark., consisting of the release tagging metadata, i.e. the location and date when the tagged animal was released, and summarized detection events of tagged individuals. If readers are interested in the source dataset they may also inquire with the project PIs as listed here or on the OTN web site (https://members.oceantrack.org/project?ccode=V2LCV). Abstract:More than 60 elasmobranch species inhabit the waters of Cabo Verde Island. The assemblage include a wide spectrum of species from large and small coastal species to pelagic species and from highly migratory to resident species, as well as species endemic to Cabo Verde, such as the Cabo Verde skate, Raja herwigi, and semi-endemic species (endemic to West Africa), such as the Atlantic weasel shark, Paragaleus pectoralis. Neonates and adult individuals are present and this wide demographic spread indicates that essential and important, but largely uncharacterized, habitats of elasmobranch are present in this region and it is believed to be one of the last refugees for elasmobranchs in West Africa, and indeed the North Atlantic Ocean. However, detailed scientific information is scarce preventing any science-based management efforts. The high value of this area in conjunction with the ability to study and protect some species within Marine Protected Areas means the region can offer some degree of sanctuary from the world-wide decline in elasmobranch species. This decline is mainly triggered by the high demand for shark fins and flesh and primarily the result of unstainable fishing practices and lacking or inadequate management. There is growing public and scientific concern over the global decline of elasmobranch populations and the consequences of such declines include changes in the structure, function and stability of marine ecosystems. Currently, there is no stock assessment available for any elasmobranch species in Cabo Verde and although marine reserves have been established, their benefit for elasmobranch conservation remains unclear. Hence, more detailed scientific information is needed to allow for a comprehensive and successful elasmobranch conservation strategy in Cabo Verde. Moreover, the characterization and conservation of Cabo Verde elasmobranch populations will contribute to both, the preservation of species diversity and support a sustainable resource for ecotourism and fisheries. Therefore, the Cabo Verde Elasmobranch Research Project aims to improve our understanding of the biology, ecology, and conservation status of elasmobranchs in Cabo Verde waters in order to provide a scientific basis for comprehensive protection and management, aid the science of these species and to benefit local communities and Cabo Verde in terms of fisheries, education and maintenance of biodiversity. The Project is based on an interdisciplinary approach with the goal of bringing together international and Cabo Verdean researchers, government representatives and resource managers, industry, NGOs and local communities, translating scientific information into on-the-water conservation measures and ensuring the effectiveness of management efforts. Canadian, Cabo Verdean and international researchers will collaborate to support long-term sustainability of elasmobranch populations through species assessments, field surveys, collection of fisheries data, telemetry studies, stock assessments, the collection of biological or environmental data, and gathering local ecological knowledge observations. The local knowledge of Cabo Verdeans who use the sea, such as traditional fishermen, will be an invaluable assistance in achieving these goals.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.155
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1550.154

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 head0.057
GPT teacher head0.362
Teacher spread0.306 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueOpen MIND→French-language works237,207→