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Record W2914982188 · doi:10.1037/fam0000488

Facilitating autonomy in interdependent relationships: Invisible support facilitates highly avoidant individuals’ autonomy.

2019· article· en· W2914982188 on OpenAlexaff
Yuthika U. Girme, Nickola C. Overall, Matthew D. Hammond

Bibliographic record

VenueJournal of Family Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyAutonomyPsycINFOInterdependenceSocial psychologySalience (neuroscience)Developmental psychologyMEDLINECognitive psychology

Abstract

fetched live from OpenAlex

Maintaining autonomy in interdependent relationships is challenging, particularly for people high in attachment avoidance, who prioritize independence. Invisible support involves indirect, subtle behaviors that minimize the salience of dependence and encourage self-driven problem solving and thus should facilitate autonomy. The current research tested whether partners' invisible support during couples' discussions of personal goals (N = 200 dyadic discussions) facilitated goal-related autonomy immediately and across time for recipients high in attachment avoidance. Highly avoidant individuals experienced lower autonomy immediately after dependence-based discussions with their partners, but they experienced the same levels of autonomy as did those low in avoidance when their partners provided greater invisible support. Furthermore, highly avoidant individuals generally experienced lower commitment, but they experienced the same levels of commitment as did those low in avoidance when they experienced greater autonomy. The results illustrate how bridging self-determination and attachment theories advances understanding of how to facilitate need fulfillment in intimate relationships. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.060
GPT teacher head0.403
Teacher spread0.344 · 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; both teacher heads agree on what is shown here.

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

Citations28
Published2019
Admission routes1
Has abstractyes

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