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Record W2749933329 · doi:10.1093/cs/cdx017

Trauma and Early Adolescent Development: Case Examples from a Trauma-Informed Public Health Middle School Program

2017· article· en· W2749933329 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

VenueChildren & Schools · 2017
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSocioemotional selectivity theoryPsychoeducationPsychologyPublic healthIntervention (counseling)Developmental psychologyCognitive developmentCognitionClinical psychologyMedical educationMedicinePsychiatryNursing

Abstract

fetched live from OpenAlex

Middle-school-age children are faced with a variety of developmental tasks, including the beginning phases of individuation from the family, building peer groups, social and emotional transitions, and cognitive shifts associated with the maturation process. This article summarizes how traumatic events impair and complicate these developmental tasks, which can lead to disruptive behaviors in the school setting. Following the call by Walkley and Cox for more attention to be given to trauma-informed schools, this article provides detailed information about the Animating Learning by Integrating and Validating Experience program: a school-based, trauma-informed intervention for middle school students. This public health model uses psychoeducation, cognitive differentiation, and brief stress reduction counseling sessions to facilitate socioemotional development and academic progress. Case examples from the authors' clinical work in the New Haven, Connecticut, urban public school system are provided.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.092
GPT teacher head0.329
Teacher spread0.237 · 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