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Transforming Coercive into Constructive Processes with Families of Children with Developmental Disabilities and Severe Problem Behavior

2015· book· en· W2218097707 on OpenAlexaff
Joseph M. Lucyshyn, Brenda Fossett, Christy Cheremshynski, Lynn D. Miller, Sharon Lohrmann, Lauren Binnendyk, Sophia Khan, Stephen J. Chinn, S Kwon, Larry K. Irvin

Bibliographic record

VenueOxford University Press eBooks · 2015
Typebook
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCoercion (linguistics)Intervention (counseling)ConstructivePsychologyPsychological interventionUnit (ring theory)Developmental psychologyFlexibility (engineering)Positive behavior supportProcess (computing)PsychiatryComputer scienceMathematics education

Abstract

fetched live from OpenAlex

This chapter describes an ecological approach to behavioral intervention with families of children with developmental disabilities and severe problem behavior that is designed to promote survivable interventions in family contexts. The approach, ecological family centered positive behavior support, is based on an ecological unit of analysis, coercive processes in family routines. The unit of analysis represents a synthesis of behavioral theory, coercion theory, and ecocultural theory. The approach aims to transform coercive into constructive processes in family routines. The chapter discusses the challenges faced by families raising a child with a developmental disability. It describes the components of the ecological unit of analysis and their contributions to tertiary level behavioral intervention with families. Results of a longitudinal intervention study that investigated the efficacy of the approach are presented. Implications are offered for assessment and intervention with families of children with developmental disabilities who may need tertiary level behavioral intervention services.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.250
Teacher spread0.225 · 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 designTheoretical or conceptual
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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