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Record W2982616008 · doi:10.22215/etd/2016-11655

The Effects of the Operational Sex Ratio on Female and Male Mate Choice in the Jamaican Field Cricket (Gryllus assimillis)

2016· dissertation· en· W2982616008 on OpenAlexaff
Amy Villarreal

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsCarleton University
Fundersnot available
KeywordsField cricketMate choiceCricketOperational sex ratioSex ratioBiologyConsistency (knowledge bases)Gryllus bimaculatusSexual selectionZoologyDemographyMatingMating systemMathematicsPopulation

Abstract

fetched live from OpenAlex

The operational sex ratio (OSR; ratio of sexually available females to sexually available males) is a social environment that greatly influences mate choice, but how it concurrently affects mate choice in both sexes in species with mutual mate choice remains poorly understood.In this thesis, I experimentally investigated the potential influence of variation in the OSR (male-biased, even sex ratio, and female-biased) on which sex is the choosiest in the Jamaican field cricket, Gryllus assimilis.I also tested the consistency of individual mate choice as quantified using a dichotomous mate choice test and a full-interaction choice test under different OSR levels.OSR did not influence female or male mate choice, but it did influence how potential mates interact.Females and males did not consistently choose the same mate between the two types of mate choices tests, and OSR did not affect the likelihood of consistently choosing the same mate.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.246
Teacher spread0.236 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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