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Record W1968232458 · doi:10.1163/22134808-00002427

Aerotactile Integration from Distal Skin Stimuli

2013· article· en· W1968232458 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

VenueMultisensory Research · 2013
Typearticle
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsUniversity of British Columbia
FundersNational Institute on Deafness and Other Communication DisordersU.S. Environmental Protection Agency
KeywordsPerceptionPsychologyAudiologyCommunicationSpeech perceptionSpeech recognitionCognitive psychologyNeuroscienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

Tactile sensations at extreme distal body locations can integrate with auditory information to alter speech perception among uninformed and untrained listeners. Inaudible air puffs were applied to participants' ankles, simultaneously with audible syllables having aspirated and unaspirated stop onsets. Syllables heard simultaneously with air puffs were more likely to be heard as aspirated. These results demonstrate that event-appropriate information from distal parts of the body integrates in speech perception, even without frequent or robust location-specific experience. In addition, overall performance was significantly better for those with hair on their ankles, which suggests that the presence of hair may help establish signal relevance, and so aid in multi-modal speech perception.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.991

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.1400.068

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 head0.266
GPT teacher head0.474
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