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Record W1895792655 · doi:10.1675/1524-4695-31.sp2.50

Harlequin Ducks in the Canadian Maritime Provinces

2008· article· en· W1895792655 on OpenAlexaffabout
Andrew W. Boyne

Bibliographic record

VenueWaterbirds · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsNova scotiaGeographyFisheryEcologyBiologyArchaeology

Abstract

fetched live from OpenAlex

Harlequin Ducks (Histrionicus histrionicus) are a relatively rare species in the Canadian Maritime Provinces. Recent confirmed breeding records are restricted to northern New Brunswick. Sightings of small numbers of birds during the molting and staging periods occur in all three provinces. It is estimated that New Brunswick supports as many as 200 wintering Harlequin Ducks, and almost 600 winter off the coast of Nova Scotia, although due to the extent of coast and occasional sightings of Harlequin Ducks from previously unknown locations, it is likely that these are minimum estimates, particularly for Nova Scotia. Few trend data are available in the Maritimes, but available information suggests an increase in the last five years. Hunting, both intentional and unintentional, still occurs; hunter education and enforcement to stop the take of this species could be worthwhile. Coastal development, including vacation home building and aquaculture sites, are occurring in places where Harlequin Ducks winter. There is a general need to monitor the impacts of these developments on local Harlequin Duck populations.

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 score0.015
Threshold uncertainty score0.070

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 studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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

Citations4
Published2008
Admission routes2
Has abstractyes

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