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Record W2805009135 · doi:10.1111/jftr.12283

Operational Stress Injuries and the Mental Health and Well‐Being of Veteran Spouses: A Scoping Review

2018· review· en· W2805009135 on OpenAlexaff
Deborah Norris, Maya Eichler, Heidi Cramm, Linna Tam‐Seto, Kimberley Smith‐Evans

Bibliographic record

VenueJournal of Family Theory & Review · 2018
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsQueen's UniversityMount Saint Vincent University
FundersU.S. Department of Veterans Affairs
KeywordsSpouseMental healthPsychologyAdaptation (eye)Marital relationshipApplied psychologySocial psychologyPsychiatrySociology

Abstract

fetched live from OpenAlex

Abstract This article presents the results of a scoping review of literature focusing on the relationship between operational stress injuries (OSIs) in military veterans and spousal mental health and well‐being. Using elements of the family adjustment and adaptation response (FAAR) model as an organizing framework, the research reviewed focuses on the demands the OSIs place on the family system, as well as related capabilities and meanings, and how these demands have an impact on the spouse and the marital relationship.

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.554
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.120
GPT teacher head0.487
Teacher spread0.367 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations23
Published2018
Admission routes1
Has abstractyes

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