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Record W1995135445 · doi:10.1002/jclp.20531

Evidence‐based group psychotherapy: using AGPA's practice guidelines to enhance clinical effectiveness

2008· article· en· W1995135445 on OpenAlexaff
Molyn Leszcz, Joseph C. Kobos

Bibliographic record

VenueJournal of Clinical Psychology · 2008
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsPsychologyPsychotherapistSession (web analytics)Evidence-based practiceClinical PracticeGroup psychotherapyMental healthResource (disambiguation)Mental health careAssociation (psychology)Alternative medicineMedicineNursing

Abstract

fetched live from OpenAlex

Practice guidelines represent a useful approach to facilitate the delivery of evidence-based mental health care. In this article, we detail group psychotherapy practice guidelines developed by the American Group Psychotherapy Association (AGPA). Combining the research literature with expert consensus, the AGPA has created a resource that should prove useful for psychotherapists, administrators, and patients. We illustrate the guidelines through a series of clinical dilemmas and challenges.

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)0.211
metaresearch head score (Gemma)0.442
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.211
Threshold uncertainty score0.972

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2110.442
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0140.010
Science and technology studies0.0050.005
Scholarly communication0.0100.011
Open science0.0070.010
Research integrity0.0150.015
Insufficient payload (model declined to judge)0.0030.002

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 head0.583
GPT teacher head0.680
Teacher spread0.097 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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

Citations36
Published2008
Admission routes1
Has abstractyes

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