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Record W224550253 · doi:10.1017/cbo9780511777042

The Impact of Early Life Trauma on Health and Disease

2010· book· en· W224550253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychopathologyNeuropsychologyReading (process)Mental healthPsychologyPsychiatryMedicineDiseaseClinical psychologyPsychotherapistCognitionPathology

Abstract

fetched live from OpenAlex

There is now ample evidence from the preclinical and clinical fields that early life trauma has both dramatic and long-lasting effects on neurobiological systems and functions that are involved in different forms of psychopathology as well as on health in general. To date, a comprehensive review of the recent research on the effects of early and later life trauma is lacking. This book fills an obvious gap in academic and clinical literature by providing reviews which summarize and synthesize these findings. Topics considered and discussed include the possible biological and neuropsychological effects of trauma at different epochs and their effect on health. This book will be essential reading for psychiatrists, clinical psychologists, mental health professionals, social workers, pediatricians and specialists in child development.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.100
Threshold uncertainty score0.780

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.245
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