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Record W4280555343 · doi:10.1037/per0000572

Effectiveness of adolescent identity treatment (AIT) versus DBT-a for the treatment of adolescent borderline personality disorder.

2022· article· en· W4280555343 on OpenAlex
Klaus Schmeck, Sindy Weise, Susanne Schlüter-Müller, Marc Birkhölzer, Lukas Fürer, Julian Koenig, Mariane Krause, Stefan Lerch, Nathalie Schenk, Nelsón Valdés, Ronan Zimmermann, Michael Kaess

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

VenuePersonality Disorders Theory Research and Treatment · 2022
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsBorderline personality disorderPsychosocialDialectical behavior therapyClinical psychologyRandomized controlled trialMedicinePsychiatryPersonalityDepression (economics)PsychologyInternal medicine

Abstract

fetched live from OpenAlex

= 1.73) and personality functioning. BPD criteria and depression were significantly reduced by both treatments. Overall, AIT was found to be not inferior to DBT-A and even more efficient in reducing BPD criteria. Both treatments are highly effective in improving psychosocial functioning and personality functioning in adolescent BPD patients. AIT is a promising approach and not inferior to DBT-A in respect to treatment efficiency. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.420
Teacher spread0.332 · 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