MétaCan
Menu
Back to cohort
Record W1990729924 · doi:10.1139/cjz-2013-0096

Explaining covariation between endo- and ecto-parasites in spreadwing damselflies (Zygoptera: Lestidae)

2013· article· en· W1990729924 on OpenAlexafffundvenue
André Morrill, Julia J. Mlynarek, Mark R. Forbes

Bibliographic record

VenueCanadian Journal of Zoology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicStudy of Mite Species
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyDamselflyParasite hostingParasitismHost (biology)MiteAcariZoologyEcologyTaxonOdonata

Abstract

fetched live from OpenAlex

Host individuals and populations are commonly infected by more than one type of parasite, yet studies examining parasite effects on host fitness often limit observations or experiments to only a single parasite taxon or to a narrow subset of potential parasite taxa. Addressing covariation between parasite taxa is important for determining the potential for misattributing effects caused by one parasite species to another parasite species, and also for testing more broadly whether host attributes relate to exposure or susceptibility to infection. In this study, parasitism by ectoparasitic water mites (Arrenuridae) and endoparasitic gregarines (Eugregarinidae) of two spreadwing damselfly species, Lestes disjunctus Selys, 1862 and Lestes forcipatus Rambur, 1842, was measured and analyzed for covariance. No significant correlations between the intensities of the two types of infecting parasites were found when both live and resisted mites were considered. However, significant negative correlations between live mites and gregarines were consistently found in L. forcipatus host samples, but never in L. disjunctus samples. These results show some species-specific patterns of covariation between mite and gregarine infections in damselflies. We propose potential underlying causes for this correlation related to parasite–host ecology and to changes in host behaviour resulting from water mite infection of L. forcipatus.

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 score0.133
Threshold uncertainty score0.982

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 studies0.0000.000
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 head0.021
GPT teacher head0.205
Teacher spread0.184 · 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

Citations7
Published2013
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of ZoologySame topicStudy of Mite SpeciesFrench-language works237,207