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Record W2789913014 · doi:10.24124/2013/bpgub1639

Complex trauma in adolescents: a graphic novel

2013· dissertation· en· W2789913014 on OpenAlexaff
Tammy Harriet Stoneman

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Manitoba123 Certification (Canada)University of Northern British Columbia
Fundersnot available
KeywordsPsychologyAddictionPopulationMedicinePsychiatry

Abstract

fetched live from OpenAlex

The purpose of this project was to develop a graphic novel geared towards the adolescent population. The first part of this project includes a literature review that explores key concepts that include complex trauma and brain development and the negative impact complex trauma has on learning. In reviewing the quality of the project, two groups participated in the review process a group of educators and a group of adolescents. The first group was asked to review the project and provide feedback that would assist in strengthening the content. The second group participated in a discussion that revolved around complex trauma and the importance of addressing such a sensitive topic among adolescents. Topics addressed include addictions issues, verbal and sexual abuse, and complex trauma. The guiding ideology of the project is that adolescents will be equipped with the tools necessary to recognize complex trauma and what supports are available for survivors of complex trauma. --Leaf i.

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)0.002
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0040.005
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.042
GPT teacher head0.321
Teacher spread0.278 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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