Former Combatants in Liberia: The Burden of Possible Traumatic Brain Injury Among Demobilized Combatants
Bibliographic record
Abstract
OBJECTIVE: To provide a better understanding of any associations between Disarmament, Demobilization, and Reintegration, previous head injury, and mental health symptoms among former combatants in Liberia. METHODS: A cluster-sampled national survey of the adult household-based Liberian population. FINDINGS: Former combatants with reported head injury were more likely to experience major depressive disorder symptoms, suicidal ideation and attempts, and current substance abuse. Former combatants with head injury are 2.83 times more likely to have major depressive disorder symptoms, and those with suspected traumatic brain injury are five times more likely to have post-traumatic stress disorder. INTERPRETATION: The poor mental health of former combatants in Liberia, both child and adult, might be mitigated if Disarmament, Demobilization, and Reintegration programming assessed participants for head trauma and traumatic brain injury using simple screening methods. The specific health and mental health needs of ex-combatants--a highly vulnerable group--will need to be addressed by Liberia. If left untreated, ex-combatants with high rates of suicidal ideation and post-traumatic stress disorder might be susceptible to re-recruitment into new conflicts in the region.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".