Intercepted journeys: Associations between migration and mobility experiences and depressive symptoms among substance using migrants at the Mexico-Guatemala border
Bibliographic record
Abstract
Substance use and depressive psychiatric symptoms have been associated with migration and mobility. The Mexico-Guatemala border is a key transit point for internal, regional, and international migration flows. However, there is limited knowledge of the role of substance use, migration, and mobility on mental health among migrants at this border. Our paper explores the association of migration and mobility patterns with possible major depressive symptoms among migrants at this key geographic region. We recruited 392 substance-using migrants using modified time-location sampling. Crude and adjusted logistic regression models were developed. We found that 12% of the sample had possible major depressive symptoms. After adjusting for relevant covariates, including gender, income, and perceived homelessness, we found that recent rural-urban and short-term migrants had higher odds of possible major depressive symptoms, whereas international migrants had lower odds. Findings of this paper suggest that although migrants experience hardship and uncertainty, they may respond with complex and nuanced forms of coping and planning.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".