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Record W2733919919 · doi:10.1080/21635781.2017.1335256

Spousal Perceptions of Military Members’ Health and Their Well-Being and Divorce Considerations: The Role of Caregiver Burden

2017· article· en· W2733919919 on OpenAlexaffabout
Alla Skomorovsky, Ekaterina Martynova, Jennifer E. C. Lee, Sanela Dursun

Bibliographic record

VenueMilitary Behavioral Health · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsCarleton UniversityDefence Research and Development Canada
Fundersnot available
KeywordsCaregiver burdenMental healthPsychological distressPsychologyDistressMediationClinical psychologyPartner effectsPsychiatryMedicineDisease

Abstract

fetched live from OpenAlex

Spouses of ill or injured military members may experience caregiver burden and develop psychological health and relationship problems. The current study examined the mediating role of caregiver burden in the path between military members' illness and psychological distress and divorce considerations among spouses of ill and injured Canadian Armed Forces (CAF) members (N = 68). The results supported the mediation models: Severity of members' physical and mental health conditions predicted higher caregiver burden, which in turn predicted higher psychological distress and divorce considerations among CAF spouses. Recommendations for mitigating caregiver burden to enhance spousal and relationship well-being are offered.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.999

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.325
Teacher spread0.306 · 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 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

Citations14
Published2017
Admission routes2
Has abstractyes

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