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Record W4302012046 · doi:10.32920/ryerson.14668446

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2022· preprint· en· W4302012046 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicBehavioral and Psychological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaSleep (system call)CognitionPopulationPsychologyClinical psychologyCognitive behavioral therapy for insomniaMedicinePsychiatryCognitive behavioral therapyComputer science

Abstract

fetched live from OpenAlex

The health of Canadian university students has been recognized as a public health concern, with sleep identified as one of the three most problematic areas. Of Canadian postsecondary students, 75.6% report obtaining an insufficient amount of sleep. Cognitive behaviour therapy for insomnia (CBT-I) has been found to be highly effective for the treatment of insomnia in the general population, including self-help administration of CBT-I. Due to a dearth of professionals trained in administering CBT-I, this study examined whether a self-help CBT-I program for young adult students would be a feasible method of improving sleep in this population. On quantitative measures, completers of the program (N = 18) demonstrated adequate knowledge acquisition, and they rated the program as acceptable, easy to understand, satisfactory, and useful. According to the qualitative data, completers found the program to be useful, clear, and easy to understand.<p></p>

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.000

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 head0.362
GPT teacher head0.402
Teacher spread0.041 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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