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Record W2139220780 · doi:10.4039/tce.2014.85

Abundance and stability of populations of a chewing louse,<i>Mulcticola macrocephalus</i>(Phthiraptera: Philopteridae), on common nighthawks,<i>Chordeiles minor</i>(Caprimulgiformes: Caprimulgidae) in Manitoba, Canada

2015· article· en· W2139220780 on OpenAlexaffabout
Terry D. Galloway, Robert J. Lamb

Bibliographic record

VenueThe Canadian Entomologist · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBird parasitology and diseases
Canadian institutionsUniversity of Manitoba
FundersNational Science Council
KeywordsLouseBiologyInfestationPopulationZoologyAbundance (ecology)EcologyVeterinary medicineDemographyBotany

Abstract

fetched live from OpenAlex

Abstract Populations of the chewing louse, Mulcticola macrocephalus (Kellogg) (Phthiraptera: Philopteridae), were investigated on its host the common nighthawk, Chordeiles minor (Forster) (Aves: Caprimulgiformes: Caprimulgidae), from 1992 to 2013 in southern Manitoba, Canada. The louse was present in all but one year with an annual prevalence of 0.52, mean intensity of 16 lice per infested bird, a ratio of 0.81 males and 1.89 nymphs to female ( n =178). Intensity was the same in the first 11 and last nine years of the study, but prevalence dropped from 0.59 to 0.34 between the two decades. Population variability for annual abundance, measured as PV, was 0.49. In August, adults and newly fledged nighthawks had a prevalence of infestation similar to the adults that immigrated in the spring, but mean intensity did not reach spring levels until September–October. Samples of hosts were small in some years, reducing the precision of parameter estimates, particularly those based on ratios. The population parameters for M. macrocephalus on a native migrant host were intermediate in the ranges of parameters for four species of lice on non-migratory, introduced feral pigeons, Columba livia Gmelin (Aves: Columbiformes: Columbidae), but the distributions of M . macrocephalus among nighthawks was less severely aggregated than those from pigeons.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.804

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)0.0000.000

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 head0.065
GPT teacher head0.268
Teacher spread0.203 · 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.

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

Citations15
Published2015
Admission routes2
Has abstractyes

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