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Record W4210356990 · doi:10.1017/cbo9780511978883.010

Cultural dimensions of child psychopathology

2018· book-chapter· en· W4210356990 on OpenAlexaff

Bibliographic record

VenueCambridge University Press eBooks · 2018
Typebook-chapter
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychopathologyGlossaryContext (archaeology)PsychologyIntervention (counseling)Developmental psychopathologyPsychotherapistDevelopmental psychologyClinical psychologyPsychiatryHistoryLinguistics

Abstract

fetched live from OpenAlex

This textbook covers the classification, causes, treatment and prevention of psychological disorders in the infant through the adolescent years. Chapters balance the social and historical context of psychopathology with the physiological roots of abnormal behavior, leading students to a comprehensive understanding of child psychopathology. The book is totally up-to-date, including coverage of the DSM-5 and criticisms of it. In four parts, this textbook describes the empirical bases of child psychopathology as well as the practice of child psychologists, outlining the classification and causes of disorders in addition to methods of assessment, intervention and treatment. Students will be able to evaluate the treatments used by professionals and debunk popular myths about atypical behavior and its treatment. Complementing the lively writing style, text boxes, clinical case studies and numerous examples from international cultures and countries add context to chapter material. Study questions, diagrams and a glossary offer further learning support.

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: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.025
GPT teacher head0.240
Teacher spread0.215 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

Explore more

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