Strengths Amidst Vulnerabilities: The Paradox of Resistance in a Mining-Affected Community in Guatemala
Bibliographic record
Abstract
The influence of large-scale mining on the psychosocial wellbeing and mental health of diverse Indigenous communities has attracted increased attention. In previous reports, we have discussed the influence of a gold mining operation on the health of a community in the Western highlands of Guatemala. Here, we discuss the community strengths, and acts of resistance of this community, that is, community processes that promoted mental health amidst this context. Using an anti-colonial narrative methodology that incorporated participatory action research principles, we developed a research design in collaboration with community leaders and participants. Data collection involved focus groups, individual interviews and photo-sharing with 54 men and women between the ages of 18 and 67. Data analysis was guided by iterative and ongoing conversations with participants and McCormack's narrative lenses. Study findings revealed key mechanisms and sources of resistance, including a shared cultural identity, a spiritual knowing and being, 'defending our rights, defending our territory,' and, speaking truth to power. These overlapping strengths were identified by participants as key protective factors in facing challenges and adversity. Yet ultimately, these same strengths were often the most eroded or endangered due the influence of large-scale mining operations in the region. These community strengths and acts of resistance reveal important priorities for promoting mental health and wellbeing for populations impacted by large-scale mining operations. Mental health practitioners must attend to both the strengths and parallel vulnerabilities that may be occasioned by large-scale projects of this nature.
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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 | 0.002 | 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".