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Record W7115596042 · doi:10.1016/j.acorp.2025.100183

Constructions of ‘sound’ in scientific discourses about cochlear implants

2025· article· en· W7115596042 on OpenAlexafffund

Bibliographic record

VenueApplied Corpus Linguistics · 2025
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsSound (geography)DisciplineField (mathematics)Collocation (remote sensing)Discourse analysis

Abstract

fetched live from OpenAlex

The linguistic resources employed to discuss sensory experiences and phenomena can vary considerably between different cultural, disciplinary and socio-political contexts. Whilst questions about the discourses of sound have long been explored in some fields, within the field of cochlear implant research, such questions have received limited attention. This article draws together literature from diverse fields, highlighting the various complexities inherent in talking about “sound” in different contexts. The results of a collocation analysis of “sound” within the CIRCorpus - (a purpose-built 3-million-word corpus comprised of scientific research articles about cochlear implants published between 1960 and 2024) are then reported. The collocation analysis highlights a discursive environment in which sound is predominantly framed within a language of testing and abilit y, suggesting that discussions of sound within CI research have become distinctly psychologized and increasingly technicalized and homogenized over time. The implications of these patterns for informing future CI research agendas are discussed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.416

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 integrity0.0000.000
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 head0.024
GPT teacher head0.345
Teacher spread0.321 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes2
Has abstractyes

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