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Record W2014323001 · doi:10.1037/a0017945

Adaptation of imagery rehearsal therapy for nightmares in children: A brief report.

2009· article· en· W2014323001 on OpenAlexafffund
Valérie Simard, Toré Nielsen

Bibliographic record

VenuePsychotherapy · 2009
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health Research
KeywordsNightmarePsychologyDreamPsycINFODistressAnxietyGuided imageryClinical psychologyIntervention (counseling)PsychotherapistDevelopmental psychologyPsychiatryMEDLINE

Abstract

fetched live from OpenAlex

This study investigated the effectiveness of a psychotherapeutic treatment for nightmares that was adapted for 6- to 11-year-old children from imagery rehearsal therapy. Ten child-mother dyads took part in a 3-session, 8-week treatment protocol. Participation in the study (contact with clinician, keeping a prospective dream log) was associated with decreases unpleasant dreams frequency, nightmare distress, and manifest anxiety. Providing educational information about nightmares did contribute to this positive effect. Results also suggest that drawing modified versions of nightmares for 1 month was associated with further reductions in nightmare distress and anxiety, but with no changes in unpleasant dreams frequency. Follow-ups at 3 and 6 months posttreatment suggest that the intervention had maintained effects. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.349
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

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 designCase report
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

Citations54
Published2009
Admission routes2
Has abstractyes

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