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Record W2789549830 · doi:10.7205/milmed.169.10.814

Psychosocial Effects of the Boot Strap Intervention in Navy Recruits

2004· article· en· W2789549830 on OpenAlexaff
Arthur R. Williams, Bonnie M. Hagerty, Steven M. Yousha, Julie Horrocks, Kenneth S. Hoyle, Dawei Liu

Bibliographic record

VenueMilitary Medicine · 2004
Typearticle
Languageen
FieldPsychology
TopicGrit, Self-Efficacy, and Motivation
Canadian institutionsUniversity of Guelph
FundersUniformed Services University of the Health SciencesUniversity of Michigan
KeywordsPsychosocialNavyIntervention (counseling)MedicineMilitary personnelGerontologyPsychiatryMilitary medicinePsychologyPhysical therapyFamily medicinePolitical science

Abstract

fetched live from OpenAlex

The purpose of this prospective study was to investigate the effects of the Boot Camp Survival Training for Navy Re cruits--A Prescription (BOOT STRAP) intervention on stress depression, situational events, interpersonal factors, and recruit training performance. Divisions of Navy recruits were randomly selected and 801 recruits participated for the 9 weeks of their training. Recruits "at risk" for depression were randomly assigned to the intervention or nonintervention groups, and the remaining recruits served as the comparison group. The at-risk recruits who received the BOOT STRAP intervention significantly increased their sense of belonging, experienced less loneliness, used more problem-solving coping skills, and decreased insecure attachment by the end of recruit training. Percentages of recruits in the study success fully completing basic training were 84% of the comparison group, 86% of the intervention group, and only 74% of the nonintervention group. Results suggest that the BOOT STRAP intervention improves recruit functioning, strengthens train ing performance, helps reduce attrition, and may have impor tant implications for stress and depression interventions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0030.000

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 head0.023
GPT teacher head0.330
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 source (direct Gemma or distilled Codex), 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

Citations91
Published2004
Admission routes1
Has abstractyes

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