MétaCan
Menu
Back to cohort

DEVELOPMENT OF FORAGING SKILLS AND THE TRANSITION TO INDEPENDENCE IN JUVENILE SAVANNAH SPARROWS

2003· article· en· W1971291196 on OpenAlexaboutno aff
Nathaniel T. Wheelwright, Jennifer J. Templeton

Bibliographic record

VenueOrnithological Applications · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsForagingJuvenileBiologyPredationCaptivityBroodEcologyZoology

Abstract

fetched live from OpenAlex

We investigated the timing and pattern of the development of foraging skills in juvenile Savannah Sparrows (Passerculus sandwichensis). Juveniles of known age, parentage, and in some cases sex were mist netted and tested in an aviary on Kent Island, an isolated island in the Bay of Fundy, Canada. Captive birds were exposed to three standardized and ecologically relevant foraging tasks: locating spittle bugs (Homoptera: Cercopidae) in spittle masses on goldenrod (Solidago rugosa) plants, small caterpillars under spruce (Picea glauca) bud scales, and beetle larvae under leaves. The feeding trials involved 33 juveniles aged 17–42 days, four independent juveniles whose precise ages were not known, and five adults for comparison. The performance of juvenile sparrows on all three tasks showed rapid improvement between 22 and 24 days of age. Thereafter, foraging proficiency (number of foraging attempts, number of prey obtained, foraging efficiency) did not improve significantly with age among juveniles; in fact, older juveniles performed as well as adults. Juvenile males obtained more prey items than juvenile females in aviary trials. Foraging proficiency in captivity was not a good predictor of survival to the following year, and it appeared not to be influenced by brood membership or parental age. The age at which foraging performance improved in captivity coincided with the age at which parents cease attending their fledglings in the field, suggesting that the duration of postfledging parental care may be determined by the speed at which juveniles can develop foraging skills. Desarrollo de Destreza para Forrajear y Transición a la Independencia en Juveniles de Passerculus sandwichensis Resumen. Investigamos el tiempo y el patrón de desarrollo de destreza para forrajear en juveniles de Passerculus sandwichensis. Se capturaron y se evaluaron juveniles de edad, origen, y (en algunos casos) sexo conocidos en una pajarera en Kent Island, Bahía de Fundy, Canadá. Las aves capturadas se expusieron a tres tareas de forrajeo estandarizadas y ecológicamente relevantes: localizar insectos (Homoptera: Cercopidae) en su espuma en hierbas (Solidago), orugas pequeñas en las ramitas de Picea glauca, y larvas de escarabajo debajo de hojas. Utilizamos 33 juveniles de 17–42 días de edad, 4 juveniles independientes de edades desconocidas y 5 adultos para comparar. El desempeño de los juveniles en las tres tareas mostró una mejoría rápida entre 22 y 24 días de edad. A partir de entonces, la competencia al forrajear (número de intentos de forrajeo, número de presas obtenidas, eficiencia de forrajeo) no mejoró significativamente con la edad entre los juveniles; de hecho, los juveniles mayores se desempeñaron tan bien como los adultos. Los machos juveniles consiguieron más presas que las hembras en las pruebas. La competencia al forrajear en cautiverio predijo la sobrevivencia hasta el siguiente año adecuadamente, y pareció no ser influenciada por la nidada a que se pertenecía o por la edad de los padres. La edad en que la competencia al forrajear mejoró en cautiverio coincidió estrechamente con la edad en que los padres dejan de cuidar a los volantones en el campo, lo cual sugiere que la duración del cuidado de los padres después de que los polluelos salen del nido puede ser determinada por la rapidez con que los juveniles puedan desarrollar destreza para forrajear.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.247
Teacher spread0.235 · 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

Citations70
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueOrnithological ApplicationsSame topicAvian ecology and behaviorFrench-language works237,207