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Effects of supplemental calcium on the growth rate of an insectivorous bird, the purple martin (<i>Progne subis</i>)

2001· article· en· W2542718537 on OpenAlexaffvenue
Ray G. Poulin, R. Mark Brigham

Bibliographic record

VenueEcoscience · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsInsectivoreCalciumBiologyFeatherZoologyGrowth rateEcologyChemistryHabitat

Abstract

fetched live from OpenAlex

The calcium content of insects is postulated to be insufficient to meet the high demands of skeletal growth incurred by nestling insectivorous birds. To compensate for this calcium deficiency, adult birds commonly supplement the diet of their nestlings with objects rich in calcium, such as mollusk shells. This leads to the hypothesis that nestlings of species that have difficulty obtaining calcium-rich objects may suffer from calcium-limited growth rates. In this study, we experimentally tested whether supplemental calcium affected the growth rate of an aerial insectivore species with limited terrestrial mobility. We force-fed nestling purple martins (Progne subis) a calcium supplement and compared their growth rate to a control group. Calcium supplementation did not affect the growth rate of nestlings as measured by mass, primary feather length, tail feather length, wing bone length or tarsus length. The lack of effect was likely a result of martins feeding nestlings calcium-rich objects. We conclude that despite the terrestrial agility problems suspected to hinder aerial insectivores, they are capable of collecting calcium-rich objects, and that the growth rate of their young is not limited by a calcium-deficient diet.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score1.000

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 science0.0010.000
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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

Citations16
Published2001
Admission routes2
Has abstractyes

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