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Record W1540211759

Noise and blood pressure: A cross sectional and longitudinal study of the effects of exposure to loud noise on residents of Calabar, Nigeria

2012· article· en· W1540211759 on OpenAlexaffvenue
Ubon Asuquo, Michael U. Onuu, Aniefiok Akpanand, Affiong Asuquo

Bibliographic record

VenueCanadian acoustics · 2012
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsTrinity Western UniversityWestern University
Fundersnot available
KeywordsNoise (video)Blood pressureNoise levelNoise exposureSound pressureAudiologyAdaptation (eye)MedicineCross-sectional studyPsychologyAcousticsComputer scienceHearing lossPhysics
DOInot available

Abstract

fetched live from OpenAlex

Effects on the systemic circulation, such as the constriction of blood vessels, have been observed under laboratory and field conditions. A 39-item questionnaire was used for subjective assessment of the respondents in all the sixteen zones. The respondents were given questionnaires which contained standard questions tailored toward getting their reactions about the effects of noise on them. The effect of noise on blood pressure was assessed by comparing the blood pressure of respondents who had lived or worked/schooled in the high noise zones with that of respondents in the low noise zones. The respondents taken were those that have lived in these areas for at least three years, a period believed to be enough for adaptation to the noise environment by the respondents.

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)0.001
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 score0.012
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.023
GPT teacher head0.334
Teacher spread0.312 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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