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Record W2089084689 · doi:10.1016/j.smrv.2015.01.009

The Pittsburgh sleep quality index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis

2015· article· en· W2089084689 on OpenAlexafffund
Tatyana Mollayeva, Pravheen Thurairajah, Shirin Mollayeva, Colin M. Shapiro, Angela Colantonio

Bibliographic record

VenueSleep Medicine Reviews · 2015
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsChild, Adolescent and Family Mental HealthToronto Western HospitalHospital for Sick ChildrenToronto Rehabilitation InstituteUniversity Health NetworkUniversity of TorontoOntario Centre of Excellence for Child and Youth Mental Health
FundersCanadian Institutes of Health Research
KeywordsPittsburgh Sleep Quality IndexCronbach's alphaConstruct validityPsycINFOReliability (semiconductor)Meta-analysisClinical psychologyPsychologyMEDLINEMedicinePsychometricsPhysical therapyInsomniaSleep qualityPsychiatryPathology

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.019
metaresearch head score (Gemma)0.045
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.045
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0210.044
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.002
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 head0.248
GPT teacher head0.472
Teacher spread0.224 · 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 designMeta-analysis
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

Citations1,776
Published2015
Admission routes2
Has abstractno

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