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Record W6991572385

Hearing Health in Remote Quebec: A Case Study from a Native School

2023· article· en· W6991572385 on OpenAlexaffvenueabout

Bibliographic record

VenueCanadian acoustics · 2023
Typearticle
Languageen
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHearing lossIntervention (counseling)General partnershipHearing aidFormative assessmentOtitis
DOInot available

Abstract

fetched live from OpenAlex

The role of hearing as an essential sense in children's cognitive, communicative, and learning development is highly significant. The period of early childhood, marked by critical developmental milestones, underscores the crucial impact of sound hearing on language acquisition and socio-emotional growth. The detrimental effect of untreated hearing loss on a child's learning potential necessitates early detection and prompt intervention to address auditory impairments. Globally, many regions have recognized this need and established proactive strategies like hearing awareness and hearing screening programs. In Quebec, the Programme de Dépistage Auditif Néonatal is a noteworthy initiative aimed at identifying newborn hearing impairments early. However, despite this initial screening, children remain vulnerable to subsequent auditory issues such as otitis media and earwax obstruction during their formative years. We present here a case study from a partnership with a Native community with limited access to hearing-health-related services. Over the course of our visit, we screened a total of 29 students from the local school and found that six had full earwax occlusion, seven had partial occlusion, and eight warranted a full audiological evaluation. Additionally, we provided hearing health educative presentations with a focus on preventing the effects of noise, to five classes, ranging from pre-kindergarten to grade 8. The findings from this intervention underscored the need for sustained hearing screening and education programs for school-aged children, especially for regions with limited access to such services. These strategies would ensure early detection, prevention and management of hearing issues, thereby facilitating uninterrupted learning.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0140.003
Scholarly communication0.0020.001
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.073
GPT teacher head0.373
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2023
Admission routes3
Has abstractyes

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