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Record W2771434444 · doi:10.1080/20008198.2017.1403257

The global collaboration on traumatic stress

2017· article· en· W2771434444 on OpenAlexaff
Ulrich Schnyder, Ingo Schäfer, Helene Flood Aakvaag, Dean Ajduković, Anne Bakker, Jonathan I. Bisson, D Brewer, Marylène Cloître, Grete Dyb, Paul Frewen, Juliana A. Lanza, Robyne Le Brocque, Brigitte Lueger‐Schuster, Gladys K. Mwiti, Misari Oe, Rita Rosner, Julia Schellong, Jun Shigemura, Kitty K. Wu, Miranda Olff

Bibliographic record

VenueEuropean journal of psychotraumatology · 2017
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsNeglectMental healthTraumatic stressChild abusePsychologyMedicinePolitical sciencePoison controlPsychiatrySuicide preventionEnvironmental health

Abstract

fetched live from OpenAlex

Trauma is a global issue. The great majority of the global burden of disease arising from mental health conditions occurs in low- and middle-income countries (LMICs), among populations in political, economic, and/or cultural transition and those struck by forced migration. These mental health problems frequently arise as a result of traumatic events that adversely affect adults, children, and families, including war, mass violence, natural disasters, and accidents. In response to this, the International Society for Traumatic Stress Studies (ISTSS) launched the Global Initiative to have a stronger global impact on trauma-related issues. As part of this initiative, the Global Collaboration was established by representatives of eight professional organizations active in the field of traumatic stress. The group decided to focus on childhood abuse and neglect as its first collaboration. They collected guidelines worldwide, providing the basis for a synthesized core guide for prevention and treatment that can be customized for specific cultural contexts. The resulting 'Internet information on Childhood Abuse and Neglect' (iCAN) is a comprehensive guide for adults who have been affected by childhood abuse and neglect, as well as for the survivors' significant others. It is currently provided in eight languages, and is freely available at the homepage of ISTSS and other websites. A second achievement of the Global Collaboration is the validation of the Computerized Childhood Attachment and Relational Trauma Screen (CARTS), a self-report measure designed to measure occurrences of childhood maltreatment, and its translation into multiple languages, including Croatian, Dutch, French, Georgian, German, Italian, Japanese, Norwegian, Russian, and Spanish. A study is currently planned to collect normative responses to the questionnaire, and to conduct cross-cultural comparisons. The Global Collaboration's success may be seen as an encouraging step towards a truly global structure in the field of traumatic stress.

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 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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.040
GPT teacher head0.377
Teacher spread0.336 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations42
Published2017
Admission routes1
Has abstractyes

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