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Record W3121624844 · doi:10.12681/psy_hps.23519

Η εφαρμογή του προγράμματος προαγωγής ψυχικής υγείας «Μπορώ να Λύσω το Πρόβλημα» σε δημόσια νηπιαγωγεία στην Ελλάδα: Αποτελέσματα του πρώτου χρόνου

2020· article· en· W3121624844 on OpenAlexaff
Βάνα Χίου, Αναστασία Ζήση, Γιώτα Ξανθάκου, Μαρία Σαπουνά, Maria Kaila

Bibliographic record

VenuePsychology the Journal of the Hellenic Psychological Society · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsHamilton Health Sciences
Fundersnot available
KeywordsSocial skillsCognitionPsychologyIntervention (counseling)Cognitive skillDevelopmental psychologyTest (biology)Mental healthInterpersonal communicationSocial psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

A mental health promotion intervention program called “I Can Problem Solve” (Shure, 2000) aiming at enhancing interpersonal - cognitive problem solving skills was implemented for first time among preschool children (4-6 aged) attended kindergarten schools in Greece. An experimental repeated measures research design was employed to test over a period of two years; a) cognitive skills of alternative solutions and consequences to hypotheticalinterpersonal problems, and b) social skills and problem behaviors. The first year’s results indicate significant improvements in both cognitive skills for the children joined the experimental research group. The clinical implications of the study are discussed.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.063
GPT teacher head0.336
Teacher spread0.273 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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