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Record W3018367429 · doi:10.22215/etd/2019-13799

Are You What You Eat? How Protein and Carbohydrate Availability during Development Influence Cricket Cognition and other Fitness Conferring Traits in Adulthood

2019· dissertation· en· W3018367429 on OpenAlexaff
Maria Doria

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsCarleton University
Fundersnot available
KeywordsCognitionJuvenileCricketPsychologyTest (biology)Field cricketReproductive successCognitive testDevelopmental psychologyBiologyDemographyEcology

Abstract

fetched live from OpenAlex

The conditions experienced during development may influence adult cognition and fitness, especially when conditions are stressful.To test the developmental stress hypothesis, I manipulated Texas field crickets (Gryllus texensis) juvenile diet and observed its effects on cognition (Chapter 1) and other fitness-related traits; I also examined whether diet influenced trade-offs between traits (Chapter 2).Individuals improved their cognition scores with training, but not during the test trial, suggesting developmental diets were stressful, hindering spatial cognition.Female fecundity was greatest in larger females that grew quickly.Males that developed quickly and performed well cognitively had a high probability of adopting a caller strategy; these males also exhibited high calling effort, suggesting high overall condition.For all others, adopting a caller strategy and exhibiting high calling effort only occurred with trade-offs, either via slower development, poorer performance in the cognitive task, or both.Diet did not predict cognitive and reproductive trade-offs.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0010.000
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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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 designBench or experimental
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

Citations1
Published2019
Admission routes1
Has abstractyes

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