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Record W7163533413 · doi:10.21199/wb46.1.6

IS THE LONG-EARED OWL DIMORPHIC?

2015· article· W7163533413 on OpenAlexaboutno aff
ROBERT W. DICKERMAN

Bibliographic record

VenueWestern Birds · 2015
Typearticle
Language
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSubspeciesSynonym (taxonomy)Type localityRange (aeronautics)Variation (astronomy)

Abstract

fetched live from OpenAlex

The Long-eared Owl (Asio otus) is almost cosmopolitan in the North Temperate Zone. In Eurasia (see Peters 1940, Vaurie 1965), A. o. otus (Linnaeus, 1758) is found throughout the range of the species, except for the Canary Islands, where isolated A. o. canariensis Madarász, 1901, occurs. In North America two wide-ranging subspecies have been named, distinguished by size and color. “Eastern” A. o. wilsonianus (Lesson, 1830; type locality Pennsylvania) is reportedly larger and darker; “western” A. o. tuftsi Godfrey, 1948 (type locality South Arm, Last Mountain Lake, Saskatchewan) is reportedly smaller and paler (Godfrey 1948). The latter form was recognized by the AOU (1957), Monson and Phillips (1981), Marks et al. (1994), and Pyle (1997). Browning and Cross (1999) suggested the existence of even a third, as yet unnamed subspecies (see Marshall et al. 2006). But tuftsi was maintained as a junior synonym of wilsonianus by Rea (1983) and Unitt (1984). Rea (1983:171) wrote that “males are considerably darker than females” (n = 30) and questioned the validity of a paler western race. Kenneth C. Parkes “compared western birds of various museum ages … with topotypical Pennsylvania material and was unable to substantiate a western race” (loc. cit.). Parkes “doubted the validity of … ‘tuftsi’ … and suggested the supposed differences were artifacts of individual variation and museum age of specimens” (Unitt 1984:110).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.037

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 head0.046
GPT teacher head0.278
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

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
Published2015
Admission routes1
Has abstractyes

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