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Record W4362584110 · doi:10.1177/02654075231162390

Greater average levels of relatedness need fulfilment across daily and monthly life predict lower attachment insecurities across time

2023· article· en· W4362584110 on OpenAlexaff
Yuthika U. Girme, Nickola C. Overall

Bibliographic record

VenueJournal of Social and Personal Relationships · 2023
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyFeelingLongitudinal studyDevelopmental psychologySocial psychologyAnxietyAttachment theoryInsecure attachmentEmotional securityClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Attachment insecurity is characterized by chronic concerns about whether partners can fulfil core relatedness needs, including feeling loved and cared about. In two longitudinal studies, our aim was to extend current evidence that certain relationship conditions buffer attachment insecurity by (1) focusing on the central ingredient—fulfilment of relatedness needs—that likely account for buffering effects, and (2) illustrate the importance of general experiences of relatedness need fulfilment across couples’ lives. Couple members completed initial assessments of attachment insecurity, reported on the fulfilment of relatedness needs every month for 6 months (Study 1) or daily for 3 weeks (Study 2), and then completed re-assessments of attachment insecurity 6-months (Study 1) or 9-months (Study 2) later. Across both studies, greater fulfilment of relatedness needs across monthly and daily relationship life predicted decreases in attachment anxiety and avoidance. General experiences of relatedness across couples’ lives appear to reflect a relationship environment that fulfils core needs for love, care, and regard that cultivate attachment security.

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)0.001
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 score0.225
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.066
GPT teacher head0.374
Teacher spread0.307 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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