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Is There Any Effect of the Chronobiological Profile on Auditory Skills?

2025· article· en· W4409456271 on OpenAlexaboutno aff
Didem Şahi̇n Ceylan, Gökçe Gülteki̇n, Yeter Saçlı, Busemnaz Avşar Aksu, Büşra Aksu

Bibliographic record

VenueJournal of Turkish Sleep Medicine · 2025
Typearticle
Languageen
FieldPsychology
TopicVisual and Cognitive Learning Processes
Canadian institutionsnot available
Fundersnot available
KeywordsAudiologyPsychologyMedicine

Abstract

fetched live from OpenAlex

Öz Amaç: Bu çalışmanın amacı, sirkadiyen kronotiplerin günün farklı saatlerindeki periferik ve santral işitsel performanslarını araştırmaktır.Gereç ve Yöntem: Sabahçılık akşamcılık anketi ile kronotipleri belirlenen katılımcılara sabah ve akşam saatlerinde akustik immitans ölçümleri, Otoakustik Emisyon testi, Saf Ses Odyometri testi, Frekans Patern testi, Süre Patern testi (SPT), Gürültüde Türkçe Konuşma testi (TKT) ve İşitsel Sözel Öğrenme testi (İSÖT) uygulandı.Normal işiten ve montreal kognitif değerlendirme skoru ≥21 olan toplam 63 katılımcı çalışmaya dahil edilmiştir.Bulgular: Sabah tipleri İSÖT'nin A7 alt testinde sabah seansında anlamlı olarak daha yüksek puan aldı (p<0,05).Akşam tipleri akşam seansında TKT'de anlamlı derecede daha yüksek puan almıştır (p<0,05).Sabah testlerinde, sabah tiplerinin sol kulak SPT sonuçları ara tiplerden anlamlı derecede daha iyiydi (p<0,05).Akşam testlerinde, sabah tipleri TKT'de ara tiplerden anlamlı derecede daha iyi performans göstermiştir (p<0,05).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.010
GPT teacher head0.348
Teacher spread0.338 · 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 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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