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Record W3007033372 · doi:10.5962/p.363949

The distribution, phenology, and prey of Harlequin Ducks, Histrionicus histrionicus, in a Cascade Mountain stream, Oregon

2000· article· en· W3007033372 on OpenAlexvenueno aff
Kristopher K. Wright, J. L. Li

Bibliographic record

VenueThe Canadian Field-Naturalist · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
FundersU.S. Bureau of Land Management
KeywordsCascadePhenologyDistribution (mathematics)PredationGeographyFisheryEcologyBiologyChemistryMathematics

Abstract

fetched live from OpenAlex

The distribution, phenology, and prey of Harlequin Ducks, Histrionicus histrionicus, in a Cascade Mountain stream, Oregon.Canadian Field-Naturalist 114(2): 187-195.We examined the phenology, abundance, and in-stream habitat use of Harlequin Ducks (Histrionicus histrionicus) and their primary prey, the caddisfly larvae Dicosmoecus gilvipes, in a Cascade Mountain stream from 1994-1997.Harlequins and D. gilvipes inhabited the stream from late April through late July, and both frequented areas with high proportions of bedrock.When broods were present in late June and July, D. gilvipes made up over 80% of harlequin diets.Although harlequins foraged intensively on D. gilvipes, we found no direct relationship between harlequin distribution and caddisfly abundance at nine 50 m study sites.After a severe flood in early 1996, we observed reductions in overall harlequin numbers, a seasonal delay in brood development, and a decrease in abundance of D. gilvipes.

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)0.000
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 score0.385
Threshold uncertainty score0.765

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.014
GPT teacher head0.220
Teacher spread0.206 · 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

Citations1
Published2000
Admission routes1
Has abstractno

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