From local to global: networked activism against multinational extractivism
Bibliographic record
Abstract
This essay analyzes a locally networked resistance movement against the Phulbari Coal Project, an immense open-pit coal mine excavation project initiated by the multinational corporation Asia Energy (U.K.) in Bangladesh. The project was violently brought upon the rural and Indigenous peoples in 2006 but met with a formidable resistance that forced the company to halt the project and leave the country. The success of the protest was amplified by shows of solidarity from international environmental justice movements. We argue that the mobilization of movements and protests like this signify a global arcade of networked activism against transnational and geomorphic extractivism. Drawing from interviews and qualitative digital media content analysis, we identify common themes, similarities with global appeals and vocabularies, and the communicative architecture of the movements, including their digital turn. We pay attention to how local voices were picked up by national and transnational alliances. Although deeply situated in local cultures, the Phulbari movement shows that antiextractivism has become a digitally networked and globally circulated cause.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.021 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".