Interrogating the dimensions of human security within the context of migration and rural livelihoods in Honduras
Bibliographic record
Abstract
Security concerns, including poverty and violence, are viewed as critical factors in understanding the drivers of and experiences with internal and international migration from Honduras. Drawing on a broad definition of human security that encompasses ‘freedom from fear’ and ‘freedom from want’, in addition to insights from critical and feminist security studies, we interrogate different dimensions of human security for rural households from one region of Honduras. We include data from 248 household surveys and a qualitative activity with 60 secondary school students to explore how experiences of security influence migration decisions and outcomes from this setting. For surveyed households, we find that migration contributed to enhanced economic and emotional security among family members left behind. Fear of violence was a prominent barrier to migration rather than a motivation for migration. Additionally, educational attainment raised personal and household expectations concerning the feasibility of migration to mitigate insecurity. Overall, we find human security to be a useful framework to understand motivations for and outcomes from migration among these rural households. However, the relationship between experiences of security and migration needs to be situated in the context of broader rural livelihoods, including local economic realities and intrahousehold characteristics.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".