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Record W143091865

Incidence of Black-phase Plumage in Ferruginous Hawks Nesting in Central North Dakota

2024· article· en· W143091865 on OpenAlexaboutno aff
Paul M. Konrad, David S. Gilmer

Bibliographic record

VenueDigital Commons - University of South Florida (University of South Florida) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPlumageNesting (process)Incidence (geometry)GeographyZoologyEcologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Distinct plumage phases for the Ferruginous Hawk (Buteo regalis) include normal, black and red (Brown and Amadon 1968).During a three-yr (1977-79) study of nesting Ferruginous Hawks in central North Dakota (Gilmer and Stewart 1983), we observed only normal and black-phase plumage in adults and in nestlings with welldeveloped plumage.A total of 12 (1.1%) of 1050 adult Ferruginous Hawks we observed at nest sites had black-phase plumage.The number of nest sites occupied by black-phase adults was five of 200 (3%) in 1977, five of 184 (2.7%) in 1978 and two of 245 (0.8%) in 1979 (Table 1).All black-phase adults were paired with normal-colored mates, and mixed pairings produced broods that varied from all black to all normal.Sixteen (47%) of 34 mixed-pair nestlings had black-phase plumage.In addition one black nestling was produced by a normal pair.Only 17 (1.2%) of 1407 nestlings we observed had black-phase plumage.Observations of one mixed pair and its broods are especially noteworthy.A pair consisting of a black-phase 1977.Nesting of Ferruginous Hawks (Buteo regalis) in Washington 1974-75.Condor 79:245-249.GILMER, D. S. AND R. E. STEWART.1983.Ferruginous Hawk populations and habitat use in North Dakota.].Wildl.Manage.

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 score0.168
Threshold uncertainty score0.333

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.028
GPT teacher head0.206
Teacher spread0.178 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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