Strengthening the military stoic tradition: enhancing resilience in military service members and public safety personnel through functional disconnection and reconnection
Bibliographic record
Abstract
This paper addresses operational stress injuries (OSIs) among military service members (SM) and public safety personnel (PSP) resulting from prolonged exposure to potentially psychologically traumatic events (PPTEs). While psychotherapeutic interventions for post-traumatic stress injuries (PTSIs) are well established, there is a significant gap in evidence-based mental health training programs addressing proactive mitigation of negative outcomes from PPTEs. Building on the Functional Disconnection/Functional Reconnection (FD/FR) model, we introduce FD/FR 2, emphasizing early identification and management of psychological risks. FD/FR 2 discusses the practice of emotional suppression, or "pseudo-stoicism," and its potential negative impact on mental health. By integrating authentic Stoic principles, FD/FR 2 offers practical exercises to enhance resilience and well-being, addressing a critical need in current training approaches for military SM and PSP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".