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Record W2524479376 · doi:10.1177/0095327x16670691

The Impact of Deployment on Children From Canadian Military Families

2016· article· en· W2524479376 on OpenAlex
Alla Skomorovsky, Amanda Bullock

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArmed Forces & Society · 2016
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsSoftware deploymentMilitary deploymentStressorPsychological resilienceMilitary personnelPsychologySocial supportResilience (materials science)Environmental healthMedicineEngineeringPolitical scienceClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Children in military families experience various stressors associated with the demands of military life, such as parental absences due to deployments. However, there is a limited understanding of children’s well-being to parental deployment from Canadian military families. This study was conducted to examine the impact of deployment on the well-being of school age children from Canadian Armed Forces families and to consider the resilience factors in their well-being. Focus groups with children ( N = 85) showed that deployment negatively impacted children’s well-being, routines, and family dynamics. Active distraction and social support seeking served as the most effective protective factors against deployment stress. Recommendations for mitigating the impact of deployment 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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.684

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 studies0.0000.000
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 head0.011
GPT teacher head0.295
Teacher spread0.283 · 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