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Perception of college going youth regarding sleep schedule

2023· article· en· W4320736607 on OpenAlexaboutno aff
Divya Asopa

Bibliographic record

VenueInternational Journal of Home Science · 2023
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNapGraduation (instrument)PsychologySleep (system call)Quarter (Canadian coin)PerceptionScheduleMorningMedical educationDemographyMedicineEngineeringSocial psychologyGeographyManagementSociology

Abstract

fetched live from OpenAlex

The present study was undertaken to assess the perception of college going youth regarding sleep schedule. The total sample for the present study consisted of 120 college going students including 60 boys and 60 girls. The age range of subjects was between 19 to 24 years. Subjects selected were regular college going students who were pursuing their under graduation degree. To maintain the homogeneity of the samples two engineering colleges from Udaipur i.e. College of Technology and Agriculture Engineering, MPUAT and Pacific College of Engineering were selected purposively. Major findings of the study indicated that 40 percent of the subjects preferred to sleep late at night and getting up early in the morning. Further 52.5 per cent of subject devoted 6-7 hours and 41.67 percent devoted about 7-8 hours for night time sleep. Nearly half of the subjects devoted 1-2 hours for afternoon nap and a quarter of the subjects took 1 hour nap. Nearly 52 per cent of the respondents had set sleep timings.

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 score0.004
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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.326
Teacher spread0.303 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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