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Record W2334610835 · doi:10.5926/jjep1953.48.3_294

Construction of Sleep-Hygiene Scales and Classification of Sleep Patterns in Undergraduates

2000· article· en· W2334610835 on OpenAlexaff
Tomoka Takeuchi, Maki Inugami, Kaneyoshi Ishihara, Kazuhiko Fukuda

Bibliographic record

VenueThe Japanese Journal of Educational Psychology · 2000
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsBrock University
Fundersnot available
KeywordsSleep hygienePsychologySleep (system call)HygieneClinical psychologyApplied psychologyDevelopmental psychologyPsychiatrySleep qualityInsomniaMedicineComputer science

Abstract

fetched live from OpenAlex

不眠, 不充分な睡眠や付随する疲労は, 行動問題や情動障害に関連し, 二次的な学業問題, 集中力欠如, 成績悪化などに結びつく。そこで本研究では, 睡眠問題発現の予防学的側面をふまえ第1に, 睡眠習慣調査の因子分析により大学生の睡眠生活パタンを総合的に把握する尺度を構成した。第2に, 尺度得点のクラスター分析により睡眠習慣を分類し, 大学生の睡眠衛生上の潜在的問題点を検討した。因子分析により睡眠に関する3尺度一位相関連 (朝型・夜型と規則・不規則関連9項目), 質関連 (熟眠度関連6項目), 量関連 (睡眠の長さと傾眠性関連6項目) 一を抽出し, 通学など社会的要因との関連を示唆した。分類した6群のうち4群は, 睡眠不足, 睡眠状態誤認, 睡眠相後退など睡眠障害と共通点を示し, 時間的拘束の緩い大学生活から規則的な就業態勢への移行時に睡眠問題が生じる危険性を示唆した。また本研究のような調査票による, 医学的見地からみた健常範囲内での睡眠習慣類型化の可能性を示唆した。分類結果に性差を認め, 短時間睡眠で高傾眠群, 睡眠の質が悪いが朝型, 規則的で平均睡眠量の群で女子の, 夜型, 不規則, 睡眠過多な群, 夜型, 不規則で睡眠の質が悪い群では男子の割合が高かった。従来の知見をふまえ生物学的要因の関与を推測した。

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)0.004
metaresearch head score (Gemma)0.010
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 score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.329
Teacher spread0.309 · 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".

Quick stats

Citations9
Published2000
Admission routes1
Has abstractyes

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