The Border-Development-Climate Change Nexus: Precarious Campesinos at the Selva Maya Mexico–Guatemala Border
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Borderlands can be places of socio-economic tensions, development challenges, and ecological risks, now exacerbated by climate change. We investigate the border-development-climate change nexus using research from Calakmul, Mexico and Petén, Guatemala, to detail the lived experiences and vulnerabilities of campesinos in the Selva Maya cross-border region. Our mixed methods approach combines historical analysis and ethnographic interviews with 70 campesinos. We demonstrate how large scale development approaches result in local and specific policy interventions, but produce mixed outcomes for campesinos, neglecting the most marginalized. Despite the absence of any major border crossings, a porous border in this area allows flows of people, goods, and services to connect the region, but there are differential national outcomes. In Petén, many campesinos suffer from ‘irregularity’ (lacking rights to the lands where they live and cultivate), preventing access to state development benefits. In Calakmul greater climate change demands adaptations beyond the scope of recent policy interventions. We consider how the border region includes biophysical processes as well as socio-political and cultural ones, and we argue that policy interventions are required at global, national, and local scales to address structural inequalities and co-create local solutions to development, migration, and climate change challenges.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it