MétaCan
Menu
← Back to cohort
Record W2607437571 · doi:10.1002/9781118976111.ch6

The Neurobiology and Genetics of Childhood Maltreatment

2017· other· en· W2607437571 on OpenAlexaff
Eamon McCrory, Amy Palmer, Vanessa B. Puetz

Bibliographic record

Venuenot available
Typeother
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsVeterans Affairs Canada
Fundersnot available
KeywordsNeuroimagingPsychologyBrain functionBrain Structure and FunctionDevelopmental psychologyClinical psychologyPsychiatryNeuroscience

Abstract

fetched live from OpenAlex

Childhood maltreatment has been associated with a range of maladaptive outcomes such as poorer physical health and an increased risk of psychiatric disorder throughout an individual's life. This chapter first reviews findings from neuroimaging studies of key brain structures involved in emotion processing, memory and regulation processes, with a particular emphasis on those findings that have employed magnetic resonance imaging (MRI). It then explores how genetic factors may be relevant in thinking about the interaction between maltreatment experience and maladaptive outcome. Finally, it presents a general discussion of some clinical implications of the research in this field to date. The chapter focuses on studies of children, first considering those that have investigated differences in brain structure followed by the smaller number of studies that have investigated the potential impact of childhood maltreatment on brain function.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.284
Teacher spread0.268 · 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 designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicChild Abuse and Trauma→French-language works237,207→