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Record W4366352601 · doi:10.1080/17483107.2023.2198565

Identity change of late-deafened adults after receiving cochlear implants

2023· article· en· W4366352601 on OpenAlexaff
Felicity Bleckly, Nicole Matthews, Chi Yhun Lo

Bibliographic record

VenueDisability and Rehabilitation Assistive Technology · 2023
Typearticle
Languageen
FieldNeuroscience
TopicHearing Loss and Rehabilitation
Canadian institutionsToronto Metropolitan University
FundersMacquarie University
KeywordsAudiologyCochlear implantIdentity (music)Assistive technologyMedicineCochlear implantationHearing lossPsychologyAcousticsComputer science

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this research was to understand how adults reconceptualise their identity when experiencing hearing loss as an adult, and how their identity might change with a cochlear implant. MATERIALS AND METHODS: Using an online survey administered through cochlear implant social media groups, with follow-up semi-structured interviews, participants answered questions about their hearing loss and cochlear implant experiences. Forty-four people answered the survey and 16 participated in an in-depth interview. All were older than 18 years, once had heard, became deafened in adulthood and had at least one cochlear implant. RESULTS: The decision to have a cochlear implant often meant acknowledging they were no longer a hearing person. After having an implant four themes emerged. (1) Some participants maintained a hearing identity through hearing loss and after cochlear implantation, while others returned to their hearing identity. (2) Others acknowledged a confused identity, neither deaf nor hearing. In unexpected findings, (3) during the progression of hearing loss, some participants had identified as hearing but could not hear, however after implantation, they became deaf people who could hear. (4) Furthermore, after implantation, some participants identified as disabled when they had not done so when less able to hear. CONCLUSION: Given the prevalence of hearing loss in later life, it is important to understand the way these adults understand their identity through the progression of hearing loss and after becoming cochlear implant recipients. The belief people have of themselves impacts healthcare choices and affects their commitment to ongoing rehabilitation.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.027
GPT teacher head0.308
Teacher spread0.281 · 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 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

Citations6
Published2023
Admission routes1
Has abstractyes

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