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Record W1975987760 · doi:10.1080/01650520412331333819

Competition for Mating Resources in a Territorial Damselfly (Odonata: Calopterygidae)

2004· article· en· W1975987760 on OpenAlexafffund
Kara L. Lefevre, Vincent R. Muehter

Bibliographic record

VenueStudies on Neotropical Fauna and Environment · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsQueen's University
FundersSmithsonian Tropical Research InstituteUniversity of Toronto
KeywordsDamselflyTerritorialityOdonataCONTESTMatingCompetition (biology)Resource (disambiguation)PopulationBiologyEcologyDemographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

The factors that determine contest outcomes among territorial male animals are complex and much debated. This study investigated how breeding resource availability and body size influence territorial contests of the Neotropical damselfly Hetaerina miniata. In our marked population, some males were territory owners while others were part of a wanderer contingent. Male territoriality was not correlated with availability of oviposition substrate. We predicted that territory owners would have an advantage in disputes. Removal experiments demonstrated that owners won significantly more territorial contests than did wanderers, and whereas males were significantly larger than females, male territorial status did not depend on body size. However contest outcome was not based solely on ownership because experimentally removed individuals regained their territories from new owners (intruders). We suggest that intrinsic resource holding potential based on other morphological and physiological factors, such as energy reserves, may govern male competitive ability.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.175

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 head0.027
GPT teacher head0.241
Teacher spread0.215 · 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

Citations18
Published2004
Admission routes2
Has abstractyes

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