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Record W1999157679 · doi:10.1648/0273-8570-72.1.150

SCAVENGING OF WATERFOWL CARCASSES BY BIRDS IN AGRICULTURAL FIELDS OF BRITISH COLUMBIA

2001· article· en· W1999157679 on OpenAlexaffabout
Christy A. Peterson, Sandi L. Lee, John E. Elliott

Bibliographic record

VenueJournal of Field Ornithology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsWaterfowlGeographyBald eagleScavengingFisheryRange (aeronautics)ZoologyEcologyBiologyHabitat

Abstract

fetched live from OpenAlex

In the Fraser River Delta, scavenging of poisoned waterfowl by raptors during winter has led to secondary anticholinesterase poisoning. During the winters of 1996 and 1998, we used still and video photography to examine scavenging activity on waterfowl carcasses in agricultural fields. Carcass discovery was rapid for both study years; all but two of 54 carcasses were found within 72 h, and 77.8% were found within 24 h (primarily in the first 12 h after sunrise). Single duck carcasses attracted a mean of 16.6 individual scavengers (range 0–79). Seven different species fed on a carcass at least once during 1998, with Bald Eagles (Haliaeetus leucocephalus) and Northwestern Crows (Corvus caurinus) being the most common scavengers. In 1996, Bald Eagles arrived first in 26.7% of the trials. In 1998, Northwestern Crows arrived first in 50.0% of the trials with Bald Eagles and Northern Harriers (Circus cyaneus) each arriving first in 16.7% of the trials. Results demonstrate that individual poisoned duck carcasses can place numerous scavengers of a variety of species at risk for secondary poisoning due to high incidence of discovery and rapid exchange of information among birds.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

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)0.0010.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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.

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

Citations31
Published2001
Admission routes2
Has abstractyes

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