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Record W3105839020 · doi:10.1111/jmft.12468

“Is it <i>us</i> or is it <i>me</i>?”: Family experiences of connectedness following a reflecting team intervention

2020· article· en· W3105839020 on OpenAlexaff
Dillon T. Browne, Jerika C. Norona, Amy L. Busch, Keith Armstrong, Sarah Crouch, Teo Ernst, Sabrina M. Darrow, Jackson A. Smith, Eva C. Ihle

Bibliographic record

VenueJournal of Marital and Family Therapy · 2020
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSocial connectednessIntervention (counseling)Multilevel modelPsychologyVariance (accounting)Clinical psychologyMedicineDevelopmental psychologySocial psychologyPsychiatryStatisticsMathematics

Abstract

fetched live from OpenAlex

The present study examined family-wide versus individual perceptions of, and changes in, family connectedness in response to a one-time reflecting team (RT) intervention. Seventy-six families (N = 208 individuals), recruited during family therapy, completed family connectedness measures before and after the RT intervention. A subset of adults (n = 26) completed 1-week follow-up measures. Three-level (family, individual, time) multilevel models were used to partition sources of variance in connectedness while permitting different fixed and random effects for adults and minors. Results indicate that family connectedness is a characteristic of whole-families (34% of the variance), individuals (43%), and change over time (23%), including measurement error. Additionally, participants reported higher family connectedness after the RT. This study demonstrates the importance of considering family connectedness as a multilevel relationship construct that potentially changes in response to RT.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.498

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 communication0.0000.000
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 head0.098
GPT teacher head0.422
Teacher spread0.324 · 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 designQualitative
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

Citations8
Published2020
Admission routes1
Has abstractyes

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