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Auditory Stream Segregation Improves Infants’ Selective Attention to Target Tones Amid Distracters

2011· article· en· W1563796679 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.

Bibliographic record

VenueInfancy · 2011
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsMcMaster University
FundersNational Institute on Deafness and Other Communication Disorders
KeywordsPsychologySelective attentionPerceptionAudiologyAuditory perceptionAuditory stimuliTask (project management)Cognitive psychologyCommunicationCognitionNeuroscience

Abstract

fetched live from OpenAlex

The present study examined the role of auditory stream segregation in the selective attention to target tones in infancy. Using a task adapted from Bregman and Rudnicky's (1975) study and implemented in a conditioned head-turn procedure, infant and adult listeners had to discriminate the temporal order of 2200 and 2400 Hz target tones presented alone, preceded and followed by 1460 Hz flanker tones, and presented within a series of 1460 Hz captor tones meant to release the target tones from the effects of the flankers by capturing the flankers into a separate stream. Infants showed the same pattern of discrimination across conditions as adults: discrimination of target tones in the target-alone condition, a decrease in performance when flanker tones were introduced, and a return to target-alone level in the captor condition. These results suggest that infants' perceptual organization of tones is similar to that of adults, and that their ability to selectively attend to target sounds and ignore distractors depends on the structural properties and perceptual organization of the non-target sounds.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.023
GPT teacher head0.267
Teacher spread0.244 · 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