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Record W2914366432 · doi:10.1656/045.026.0105

Looking for Striped Bass in Atlantic Canada: The Reconciliation of Local, Scientific, and Historical Knowledge

2019· article· en· W2914366432 on OpenAlexaffabout
Samuel N. Andrews, Michael J. Dadswell, Colin F. Buhariwalla, Tommi Linnansaari, R. Allen Curry

Bibliographic record

VenueNortheastern Naturalist · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsNova Scotia Department of AgricultureAcadia UniversityCanadian Forest Service
Fundersnot available
KeywordsBass (fish)FisheryGeographyWildlifeBayNova scotiaFishingCapeEndangered speciesEcologyArchaeologyBiologyHabitat

Abstract

fetched live from OpenAlex

Morone saxatilis (Striped Bass) occurs throughout the provinces of Atlantic Canada, but its full distribution in the region is undescribed. Canadian Striped Bass populations are grouped by the Committee on the Status of Endangered Wildlife in Canada (COSEWIC) into 3 geographically distinct Designatable Units: Saint Lawrence River, Southern Gulf of St. Lawrence, and Bay of Fundy. Striped Bass also occurs in many other unclassified Canadian regions, and growing evidence suggests that some of these locations may support distinct, uncharacterized populations. The recreational fisheries for Striped Bass are rapidly increasing in popularity in Canada, and thus, it has become of great importance to both recognize the species' full distribution and manage the fisheries therein. We compiled recent research, certified angling catches, historic accounts, grey literature, and anecdotal reports to identify coastal sites and rivers where Striped Bass have been reported. Our findings will help managers and researchers target rivers and coastal areas for assessment and study to encompass the entirety of the species' range in Canadian waters. Our report suggests that a fourth Designatable Unit for Eastern Cape Breton Island and Northeastern Nova Scotia is needed to both monitor and manage assemblages of Canadian Striped Bass.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score0.884

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 head0.206
Teacher spread0.194 · 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

Citations16
Published2019
Admission routes2
Has abstractyes

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