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Record W3092364553 · doi:10.33448/rsd-v9i10.8636

Sleep and learning in school children

2020· article· en· W3092364553 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch Society and Development · 2020
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsCanadian Sleep & Circadian Network
Fundersnot available
KeywordsSleep (system call)PsychologyInsomniaAffect (linguistics)MedicineCognitionDevelopmental psychologyNeurosciencePsychiatry

Abstract

fetched live from OpenAlex

Objectives: To discuss physiological factors that affect learning in school children and the harmful effects of major sleep disturbances on that age. Methodology: Articles were analysed between 2020 and 2015 in LILACS, PUBMED, SciELO and MEDLINE databases with the keywords: Sleep and Child; Sleep and Learning; GH and Learning; Memory and Learning; Blood Flow and Learning; Oxygenation and Learning; Immunity and Cognition. Additionally, we also referred to the books "Sleep and Sleep Medicine" and "Insomnia from Diagnosis to Treatment". Results and discussion: We found evidence in the literature that sleep influences brain plasticity, spatial learning, motor training, long-term memory, Growth Hormone (GH) release, synapses remodelling and acts on the Hypothalamic-pituitary-adrenal (HPA) axis. Furthermore, clinical and practical findings also show that immunity is affected and children with sleep problems present significant disturbances in learning. Conclusion: The relationships between sleep reduction/ sleep disorders and daytime /nocturnal brain function, influence learning of school children.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.288
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.045
GPT teacher head0.347
Teacher spread0.301 · 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