Conflicts between mining companies and communities: Institutional environments and conflict resolution approaches
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
Abstract Although companies recognize the importance of social responsibility and community engagement, conflicts between companies and communities have been noticeably increasing. To better understand the role of institutional environments in company–community conflicts, we analyze two mining conflicts—Minera Yanacocha's Minas Conga extension project in Peru and Minera Los Pelambres' El Mauro Tailings Dam in Chile. Our findings imply that, to prevent negative consequences and alleviate company–community conflicts, mining companies should address underlying structural causes and pursue informal approaches in order to obtain and maintain their social license. We find that better formal institutional environments not only alleviate conflict intensity but also facilitate informal approaches through which companies and communities can cooperate to resolve conflicts. The best practice would be to start and continue dialogs between communities and companies, mediated by impartial governments, to understand the concerns of the counterparty and find means by which to address the causes.
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.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it