The legal position of Inuit in the exploitation of natural resources in Greenland
Bibliographic record
Abstract
Among the many topical issues dominating international discourse, are climate change, pollution, and human rights violations. Regarding environmental problems, the Arctic is going through one of the darkest periods of its history and the consequences will not tend to fade over time. Issues such as the rapid melting of polar ice and the resulting rise in sea levels have not only negatively affected the vulnerable Arctic ecosystem, but have also compromised the lifestyles of indigenous peoples who for centuries have lived in seemingly uninhabitable environments. In fact, according to the National Snow and Ice Data Center (NSIDC), in 2019 the Arctic marine ice has reached its minimum extension. This means that in the autumn the ice expanded more slowly than usual. This makes indigenous communities more vulnerable, because lack of ice creates floods and reduces the mobility of the local communities and fauna that use the ice caps to move . \nDespite these many threats of climate change, opportunities are also generated as ice retreats, with many countries now examining economic possibilities presented by climate change. In fact, in these years the routes of communication have grown and a real race to exploit natural resources has been triggered. Greenland is a prime example of a country where the threats and opportunities of climate change coexist. \nThis thesis will outline the history of Greenland from the point of view of the regulation of the mining sector and the protection of Inuit rights there with respect to the social, environmental and economic consequences of mining.
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 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 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".