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Record W2698994603 · doi:10.1111/pere.12296

Adult attachment and spousal reactions to military deployment separations and reunions

2019· article· en· W2698994603 on OpenAlexafffund
Valerie M. Wood, Tara K. MacDonald, Danielle Charbonneau, Samantha Urban

Bibliographic record

VenuePersonal Relationships · 2019
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsDepartment of National DefenceRoyal Military College of CanadaQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIntrapersonal communicationPsychologyPerceptionSoftware deploymentMilitary serviceMilitary personnelDevelopmental psychologySocial psychologyInterpersonal communicationPolitical science

Abstract

fetched live from OpenAlex

Abstract We explored adult attachment and spousal perceptions of intrapersonal and relationship functioning during military deployments. In Study 1, spouses of military members experiencing a separation were assessed, and in Study Two, spouses of military members experiencing a reunion were assessed. Study 3 entailed a large‐scale survey of relationship perceptions of spouses of military members. In Studies One and Two, attachment dimensions were related to perceptions of intrapersonal and relationship functioning during the separation and reunion, with associations moderated by days separated/reunited. In Study 3, attachment dimensions were related to relationship perceptions, with associations moderated by deployment stages. This research not only contributes to the knowledge of attachment processes in military contexts but also has the potential to inform policies and services supporting military families.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.365
Teacher spread0.332 · 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.

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

Citations5
Published2019
Admission routes2
Has abstractyes

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