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Record W3214216488 · doi:10.1075/celcr.24

Sensory Experiences

2021· book· en· W3214216488 on OpenAlexaff
Danièle Dubois, Caroline Cance, Matt Coler, Arthur Paté, Catherine Guastavino

Bibliographic record

VenueConverging evidence in language and communication research · 2021
Typebook
Languageen
FieldPsychology
TopicMultisensory perception and integration
Canadian institutionsMcGill University
Fundersnot available
KeywordsSituatedStimulus modalitySensory systemCognitionCognitive scienceSituated cognitionPsychologyMeaning (existential)ModalitiesQuality (philosophy)Product (mathematics)Cognitive psychologyComputer scienceEpistemologySociologyArtificial intelligenceNeuroscience

Abstract

fetched live from OpenAlex

Sensory Experiences: Exploring meaning and the senses describes the collective elaboration of a situated cognitive approach with an emphasis on the relations between language and cognition within and across different sensory modalities and practices. This approach, grounded in 40 years of empirical research, is a departure from the analytic, reductive view of human experiences as information processing. The book is structured into two parts. Each author first introduces the situated cognitive approach from their respective sensory domains (vision, audition, olfaction, gustation). The second part is the collective effort to derive methodological guidelines respecting the ecological validity of experimental investigations while formulating operational answers to applied questions (such as the sensory quality of environments and product design). This book will be of interest to students, researchers and practitioners dealing with sensory experiences and anyone who wants to understand and celebrate the cultural diversity of human productions that make life enjoyable!

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.139
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.326
GPT teacher head0.514
Teacher spread0.188 · 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.

Study designQualitative
Domainnot available
GenreOther

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

Citations15
Published2021
Admission routes1
Has abstractyes

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