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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 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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 source (direct Gemma or distilled Codex), 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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Same venueJournal of Marital and Family TherapySame topicAttachment and Relationship DynamicsFrench-language works237,207