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Evidence for resource polymorphism in the lake charr (<i>Salvelinus namaycush</i>) population of Great Bear Lake, Northwest Territories, Canada

2003· article· en· W2542700241 on OpenAlexafffundvenueabout
Craig T. Blackie, Dylan J. Weese, David L. G. Noakes

Bibliographic record

VenueEcoscience · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSalvelinusTrophic levelBiologyEcologyPopulationTrophic state indexFish <Actinopterygii>ZoologyGeographyFisheryTroutDemographyPhytoplankton

Abstract

fetched live from OpenAlex

We sampled lake charr, Salvelinus namaycush, from Great Bear Lake, Northwest Territories, Canada, from June 30 to August 28, 2000. We assessed morphological variation in relation to stomach contents, age, and growth history of individual fish. We found significant differences in the morphology of insect-eating lake charr and fish-eating lake charr, specifically upper and lower jaw length, pectoral fin length, and caudal-peduncle depth. The age at capture did not vary between feeding types. However, otolith increment-width differences in the first 19 y of life were highly significant between feeding types. These results suggest that piscivorous lake charr grew faster than did insectivores. Our results support the hypothesis of trophic polymorphism in the lake charr in Great Bear Lake.

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)0.001
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 score0.542
Threshold uncertainty score0.911

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.226
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 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

Citations67
Published2003
Admission routes4
Has abstractyes

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