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Addressing Children's Disruptive Behavior Problems: A 30‐Year Journey With Stop Now And Plan (<scp>SNAP</scp>)

2017· other· en· W4252411639 on OpenAlexaffabout
Leena K. Augimeri, Margaret Walsh, Michelle Kivlenieks, Debra Pepler

Bibliographic record

VenueThe Wiley Handbook of Violence and Aggression · 2017
Typeother
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsYork University
Fundersnot available
KeywordsNature versus nurtureContext (archaeology)SnapPlan (archaeology)PsychologyDevelopmental psychologySociologyComputer scienceGeography

Abstract

fetched live from OpenAlex

Abstract Young children with disruptive behavior problems are often seen as the embodiment of their problematic behavior. For the past 30 years, the Child Development Institute, Canada, has offered Stop Now And Plan (SNAP®), an evidence‐based program that challenges this misconception. SNAP leverages the potential to address behavior problems in the middle years, an often forgotten yet critical development stage. In developing SNAP, we have looked beyond children's problematic behavior to focus on promoting their potential and supporting parents to nurture their children's social–emotional development. In this chapter, we describe the development of SNAP within the context of historical and emerging research in the field, and how SNAP is scaling nationally to offer increased support to children and families across Canada.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.862
Threshold uncertainty score0.898

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2017
Admission routes2
Has abstractyes

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