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Record W2082518753 · doi:10.1080/10503307.2013.800950

The impact of mentalization training on the reflective function of novice therapists: A randomized controlled trial

2013· article· en· W2082518753 on OpenAlexaff
Karin Ensink, Julie Maheux, Lina Normandin, Stéphane Sabourin, Louis Diguer, Nicolas Berthelot, K. Parent

Bibliographic record

VenuePsychotherapy Research · 2013
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMentalizationPsychologyPsychotherapistBorderline personality disorderRandomized controlled trialClinical psychologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

This study examined whether training can increase the reflective function (RF) of novice therapists about patients with Borderline Personality Disorder (BPD). A total of 48 students in clinical psychology were randomly assigned to mentalization training or didactic training. Their RF regarding patients was assessed with the Therapist Mental Activity Scale (TMAS: Normandin, Ensink, & Maheux, 2012). The RF of trainees assigned to the mentalization training improved significantly, while participants who received traditional didactic training actually became significantly less reflective. These findings show that brief mentalization training can help beginner therapists develop their mentalization capacities with challenging patients.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.106
GPT teacher head0.470
Teacher spread0.364 · 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 designRandomized trial
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

Citations63
Published2013
Admission routes1
Has abstractyes

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