Applying and assessing free market environmentalism to the Democratic Republic of Congo’s coltan resources: Challenges and possibilities
Bibliographic record
Abstract
Coltan is the commonly used term for tantalum, a metal used in electronics, when sourced from the Democratic Republic of the Congo (DRC). This article considers that a “resource curse,” where a resource-rich country paradoxically experiences low social and economic development, is occurring in the DRC with respect to this mineral. The school of economic thought known as free market environmentalism broadly prescribes free markets, individual property rights, and common-law liability as the incentives to reduce environmental problems. While it is a less-common and sometimes controversial perspective on solving environmental problems, an analysis of a free market environmentalist perspective of coltan mining in the DRC provides alternative perspectives on solving a “resource curse,” such as effective property rights as put forward by Moriss (2009). Considering the practicality of implementing free market environmentalist principles in a war-torn country with weak governance, this article theorizes that the Congolese government could respond to the recent Congo Conflict Minerals Act within the American Dodd-Frank Act (2010) by implementing licenses to mine coltan resources that closely resemble private property rights, drawing on Pearse (1988), in areas of the DRC less affected by conflict.
 
 Keywords: Democratic Republic of Congo; coltan; tantalum; mining; free market environmentalism; property rights (privatization of)
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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".