Transnational governmentality in the context of resource extraction (with Suzana Sawyer), in the politics of resource extraction: indigenous peoples, corporations and the state
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
International institutions, including the United Nations and World Bank, and numerous multinational companies (MNCs) have voiced concern over the adverse impact of resource extraction activities on the livelihood of indigenous communities. Yet the scale and scope of problems confronting indigenous peoples caused by mineral extraction projects endorsed by governments, international agencies and MNCs is monumental. This raises a paradox: Despite the burgeoning number of international charters and national laws asserting the rights of indigenous peoples, they find themselves subjected to discrimination, dispossession and racism. The authors explore this paradox by examining mega resource extraction projects in Australia, Bolivia, Canada, Chad and Cameroon, India, Nigeria, Peru and the Philippines.
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 | 0.001 | 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 | 0.001 |
| 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