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Record W2808734170 · doi:10.1080/08975353.2018.1487247

Combining attachment and mindfulness to improve family functioning: Pilot of an Attachment-Based Mindfulness program

2018· article· en· W2808734170 on OpenAlexafffund
Sophie Smit, Cherie Martens, Patricia Ackland, Amori Yee Mikami

Bibliographic record

VenueJournal of Family Psychotherapy · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Therapy and Development
Canadian institutionsUniversity of the Fraser ValleyUniversity of British Columbia
FundersCanadian Psychological AssociationUniversity of the Fraser Valley
KeywordsMindfulnessPsychotherapistPsychologyAttachment theoryClinical psychology

Abstract

fetched live from OpenAlex

The purpose of these two pilot studies was to create a program that addresses parents’ attachment styles in combination with mindfulness practice to improve family functioning for families of children with problem behavior. The Attachment-Based Mindfulness program (ABM) was piloted with two small independent samples. In Study 1 (N = 13), results from ABM were compared to a psychoeducation program, and in Study 2 (N = 11), pre-post analyses were conducted. Findings across the studies suggest that attending to parents’ attachment styles in combination with mindfulness practice may be a potential avenue for practitioners to improve family relationships.

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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.363
Teacher spread0.320 · 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 designNon-randomized 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

Citations7
Published2018
Admission routes2
Has abstractyes

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