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Record W4399097704 · doi:10.1111/jmft.12711

Developmental couple therapy for complex trauma: Results of an implementation pilot study

2024· article· en· W4399097704 on OpenAlexaff
Heather B. MacIntosh

Bibliographic record

VenueJournal of Marital and Family Therapy · 2024
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsMentalizationDistressPsychologyAnxietyIntervention (counseling)Clinical psychologyObservational studyPsychotherapistPosttraumatic stressCoding (social sciences)MedicinePsychiatry

Abstract

fetched live from OpenAlex

This pilot study examined the process and outcome of Developmental Couple Therapy for Complex Trauma (DCTCT) with seven couples. DCTCT is a novel form of couple therapy designed to address complex posttraumatic stress disorder symptomatology and couple-level distress in trauma survivors and their partners. These couples showed statistically significant improvements in overall trauma symptoms, emotion regulation capacities, and reductions in attachment-related anxiety. These results suggest that DCTCT may be a promising approach to intervention. Future directions include the development of a sequential care model, because resource limitations may not allow for all couples to receive the full treatment model over 40 weeks; it will also be important to address measurement issues in relation to mentalizing, to allow for observational coding across the course of therapy.

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)0.011
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.118
GPT teacher head0.443
Teacher spread0.325 · 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 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

Citations6
Published2024
Admission routes1
Has abstractyes

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