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Record W4200234866 · doi:10.1521/jsyt.2021.40.3.50

Ecostructural Family Therapy and Maternal Substance Use

2021· article· en· W4200234866 on OpenAlexvenueno aff
Jessica L. Chou, Rachel M. Diamond, Bertranna M. Muruthi, Shannon Cooper‐Sadlo, Maliha Ibrahim, S Hillier, Harry J. Aponte, Dara Herbert, Susana Montesinos, Asif Zaarur

Bibliographic record

VenueJournal of Systemic Therapies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsnot available
Fundersnot available
KeywordsSubstance useContext (archaeology)PsychologyAddictionFamily therapyInterpersonal communicationPsychotherapistDevelopmental psychologyClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

This pilot study utilized phenomenological methodology to explore relational systems for ten mothers enrolled in family-centered substance use treatment. Participants described their experiences during motherhood and addiction. Analysis revealed themes that captured the interpersonal relationships of maternal substance use: (1) parent-child relationships in the context of maternal substance use disorders (SUDs), (2) interaction between romantic relationships and maternal substance use, and (3) intergenerational relationships among mothers and grandmothers. Mothers discussed these complicated and simultaneous roles and relationships that impacted their substance use and recovery within the context of family. Using ecostructural family therapy, we offer clinical recommendations with the aim of creating organizational change for families in recovery.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.037
GPT teacher head0.268
Teacher spread0.231 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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