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Record W2606101023 · doi:10.3819/ccbr.2017.120003

Why Doesn't a Songbird (the European Starling) Use Pitch to Recognize Tone Sequences? The Informational Independence Hypothesis

2017· article· en· W2606101023 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueComparative Cognition & Behavior Reviews · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Vocal Communication and Behavior
Canadian institutionsCanadian Institute for Advanced Research
Fundersnot available
KeywordsStarlingSongbirdIndependence (probability theory)Tone (literature)Comparative cognitionPsychologyCognitive psychologyCommunicationBiologyNeuroscienceZoologyMathematicsLinguisticsEcologyCognitionStatisticsPhilosophy

Abstract

fetched live from OpenAlex

It has recently been shown that the European starling (Sturnus vulgaris), a species of songbird, does not use pitch to recognize tone sequences. Instead, recognition relies on the pattern of spectral shapes created by successive tones. In this article I suggest that rather than being an unusual case, starlings may be representative of the way in which many animal species process tone sequences. Specifically, I suggest that recognition of tone sequences based on pitch patterns occurs only in certain species, namely, those that modulate the pitch and spectral shape of sounds independently in their own communication system to convey distinct types of information. This informational independence hypothesis makes testable predictions and suggests that a basic feature of human music perception relies on neural specializations, which are likely to be uncommon in cognitive evolution.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.258
GPT teacher head0.404
Teacher spread0.146 · 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