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Record W4245664170 · doi:10.1093/condor/103.3.647

The Function of Displays of Male Rufous Hummingbirds

2001· article· en· W4245664170 on OpenAlexaff
T. Andrew Hurly, Renée D. Scott, Susan D. Healy

Bibliographic record

VenueOrnithological Applications · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsHumanitiesGeographyCourtship displayDemographyArtZoologyCourtshipBiologySociology

Abstract

fetched live from OpenAlex

Abstract We observed 26 male Rufous Hummingbirds (Selasphorus rufus) on their breeding territories to quantify display behaviors and to interpret their functions. Territory holders responded to intruding conspecific males with aggressive chases until the intruder left the territory. Female intruders received dive displays and shuttle-flights, which we interpret as courtship behavior. Dive displays were J-shaped (concave upward) in both ascent and descent, contrary to other reports of oval-shaped displays. We present a representative sonogram of the sounds produced during these dive displays. Función de los Despliegues de los Selasphorus rufus Machos Resumen. Observamos 26 Selasphorus rufus machos en sus territorios de reproducción para cuantificar sus comportamientos de despliegue e interpretar las funciones de éstos. Los dueños de los territorios respondieron a intrusiones de machos coespecíficos con persecuciones agresivas hasta que los intrusos abandonaron el territorio. Por su parte, las hembras intrusas recibieron despliegues en picada y patrones de vuelo repetidos, los cuales interpretamos como comportamientos de cortejo. Los despliegues en picada tuvieron forma de J (cóncava hacia arriba) tanto en ascenso como en descenso a diferencia de reportes previos sobre despliegues en forma de óvalo. Adicionalmente presentamos un sonograma representativo de los sonidos producidos durante los despliegues en picada.

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 score0.025
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.246
Teacher spread0.231 · 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

Citations11
Published2001
Admission routes1
Has abstractyes

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