Bibliographic record
Abstract
In the village of Rosia Montana, located in the mountains of Transylvania, a new sort of vampire is trying to drain the blood of Romania's people.A Canadian mining company, Gabriel Resources, is claiming billions of dollars in a secret tribunal because Romania's parliament and court system have decided that Gabriel can't create Europe's largest gold mine.Mining in mineral-rich Rosia Montana ended in 2006 when Romania joined the European Union.For years Gabriel Resources have been trying to open a new mine but local communities, united under the Save Rosia Montana campaign, have fought back on social, environmental, economic and cultural grounds.The project was expected to release over 300 tonnes of gold and 1500 tonnes of silver.But in the process, it would create a cyanide lake, blast away four mountain tops and relocate thousands of people from their homes.Many Romanian institutions including the Romanian Geological Institute and Romanian Academy have spoken against the project and its methods, as the mine threatens some of the best-preserved Roman mining galleries in Europe.In 2013 Gabriel Resources attempted to pressure Romania's government to approve the mine by passing a law to declare their mine to be of overriding national interest.But this backfired, triggering protests which spread into Bucharest and attracted the interest of international solidarity groups.The campaign remains the biggest social mobilisation in Romania since the fall of communism in 1989.The parliament rejected the change in mining laws, and since that time the country's courts have not given the project a vital environmental permit that it requires to proceed.But that's not the end of the story, because in an era of globalised investment rules multinational corporations have gained new international legal avenues that allow them to seek redress in secret tribunals, without appeal, which are not available to ordinary people.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".