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Record W2398292744

NEH Project: Modeling Acoustic Adaptation in Bird Song

2011· article· en· W2398292744 on OpenAlexaff
G. K. D. Crozier

Bibliographic record

VenueNational Conference on Artificial Intelligence · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsLaurentian University
Fundersnot available
KeywordsSingingSparrowSociocultural evolutionAdaptation (eye)Selection (genetic algorithm)DarwinismVariation (astronomy)Computer scienceEvolutionary biologyEcologyArtificial intelligencePsychologyBiologySociologyAnthropology
DOInot available

Abstract

fetched live from OpenAlex

The objective of the family of models 'Singing to Neighbours' is to explore the mechanisms that may be responsible for the strong correlation between the song types and habitat types observed in populations of South American Rufous-collared Sparrows, Zonotrichia capensis. Formal models of this type could be used to address outstanding objections to Cultural Selection Theory, according to which Darwinian processes of blind variation, heredity, and selective retention operate directly on cultural objects. In particular, 'Singing to Neighbours' can offer a better understanding of the crucial relationship between culture and environmental selection pressures. What is vital for Darwinian evolution is that there exists a directional selection pressure – as contrasted with a system’s inherent rate of change by the introduction of selectively neutral variations – and that this pressure has the effect of weeding out variations in the population that are less successful at reproducing under these conditions. The acoustic adaptation of the songs of the Rufous-collared Sparrow shows potential to serve as a such case study since it can clarify the role of environmental interaction in cultural evolution. Importantly, this system is not vacuously memetic, and there is potential to reveal the details of the selection mechanism through further investigations. One key part of this process can be played by spatial Game Theoretic models such as 'Singing to Neighbors,' which may have the resources to clarify the selective mechanisms underlying these systems.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.461

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 head0.410
GPT teacher head0.392
Teacher spread0.017 · 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 designSimulation or modeling
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
Published2011
Admission routes1
Has abstractyes

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