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Record W7037379210

Effect of Economy and FDA Intervention on the Hearing Aid Industry

2005· article· en· W7037379210 on OpenAlexaboutno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiomedical Text Mining and Ontologies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Hearing aidIntervention (counseling)Ordinary least squaresSupply and demandHearing lossFlourishing
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study was to examine the effects of the economy and the Food and Drug Administration's (FDA) intervention on the hearing aid industry. Method: A 3-stage least squares regression technique was used to analyze the hearing aid market. Results: Our results show that, while recessionary periods reduced both demand and supply, the demand side of the hearing aid industry is significantly more responsive to changes in the economy. Further, the demand function within the hearing aid industry is inelastic. Finally, negative media coverage from nationally televised reports during the FDA's intervention between the 2nd quarter of 1993 and the 3rd quarter of 1994 did not significantly affect the market demand of hearing aids. Conclusions: The demand for hearing aids increases in a flourishing economy and decreases during periods of recession. The negative media campaign from the FDA's intervention between the 2nd quarter of 1993 and the 3rd quarter of 1994 had essentially little effect on the end user. The repercussions of the FDA's intervention have resulted, however, in a reduction in the market supply of hearing aids and an increase in their cost due to manufacturer-sponsored clinical trials.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.326

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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