Exemplifying accumulation by dispossession: mining and indigenous peoples in the philippines
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.Using a case study from the Philippines, this article applies David Harvey's theory of accumulation by dispossession to show how neoliberal policies enable mining corporations to locate, lay claim to, and develop mineral resources in formerly inaccessible areas, which for centuries have provided safe haven for indigenous peoples and their cultures. It explains why these factors are leading to an increase in armed conflict between military forces and guerrilla groups, which recruit their members from displaced indigenous people. The article concludes that the theory of accumulation by dispossession offers an appropriate analytical tool for understanding these processes.Key words: accumulation by dispossessionindigenous peoplesmilitarizationminingPhilippinesprimitive accumulation
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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 | 0.000 | 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 it