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Record W2529477207 · doi:10.1521/jsyt.2016.35.2.14

MRI Brief Therapy: A Tried and True Systemic Approach

2016· article· en· W2529477207 on OpenAlexvenueno aff
David Hale, Carl “Van” Frusha

Bibliographic record

VenueJournal of Systemic Therapies · 2016
Typearticle
Languageen
FieldPsychology
TopicPsychotherapy Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPsychotherapistPsychologyMedicine

Abstract

fetched live from OpenAlex

A debate in the marriage and family therapy profession that continues is whether a therapy approach is effective if it doesn't have scientific empirical data to back up its effectiveness or, stated another way, is it evidence-based? A practice-based approach, specifically, the MRI (Mental Research Institute) Brief Therapy approach, has stood the test of time, although its research base may not have used currently popular research protocols. Outcome studies have shown its effectiveness, and today, it is practiced worldwide. While new approaches in therapeutic practice have developed over time, the practice of the MRI Brief Therapy approach continues to demonstrate usefulness across the widest range of presenting problems. A case example is presented as an illustration of utilizing the MRI Brief Therapy approach in couples therapy, which represents the efficacy of the approach that has a history dating back to the early 1950s, and has proven staying power, unwavering evidence of its effectiveness.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.301
Teacher spread0.273 · 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 designNot applicable
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

Citations6
Published2016
Admission routes1
Has abstractyes

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