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Record W2036548278 · doi:10.1139/z02-082

Acoustic communication in<i>Drosophila melanogaster</i>courtship: Are pulse- and sine-song frequencies important for courtship success?

2002· article· en· W2036548278 on OpenAlexvenueno aff
Fanny Rybak, Thierry Aubin, Bruno Moulin, Jean‐Marc Jallon

Bibliographic record

VenueCanadian Journal of Zoology · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
Fundersnot available
KeywordsCourtshipBiologyDrosophila melanogasterWingPulse (music)SineMatingCourtship displayAttractionCommunicationAcousticsZoologyPhysicsGeneticsPsychologyOpticsMathematicsGene

Abstract

fetched live from OpenAlex

During courtship, the male Drosophila melanogaster (Diptera, Drosophilidae) emits two kinds of acoustic signals by means of wing vibrations oriented towards the female: pulse song and sine song. To examine the roles of these two song types, different experimental signals were played back to single pairs of flies (with the males made mute by wing removal). To preserve the natural pattern of sound emission, all the experimental signals were constructed from a representative complete song that included both the pulse and the sine components, recorded during a successful courtship. The first experiment showed that playback of a natural complete song restored to wingless males courtship success comparable to that of normal winged males. In the second experiment, in which we distinguished between the effects of pulse song and sine song, pulse song alone was sufficient to stimulate matings between wingless males and virgin females; sine song had a less stimulating effect. In a third experiment we examined the consequences of modifying the carrier frequency of either signal. This had no particular effect on responses to either pulse or sine song. These results suggest that for both these signals, frequency is not involved in the mating success of D. melanogaster.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.211
Teacher spread0.161 · 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

Citations33
Published2002
Admission routes1
Has abstractyes

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