State of the World's Nonfuel Mineral Resources: Supply, Demand, and Socio-Institutional Fundamentals
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
Current material supply-demand imbalances are driven by situational rather than physical scarcities, resulting in a growing interest among government, civil society, and industry groups to consider not only the availability of mineral resources, but also the sustainability implications of their production. This, in turn, places increasing pressure on mining companies to broaden their concerns when planning new mining projects, covering its “social license to operate” by incorporating strategies for limiting negative socioenvironmental impacts alongside calculations of the project's economic viability as well as balancing a large number of potential stakeholders. Accordingly, understanding also the sociopolitical context of mineral development is crucial for the creation of sustainable practices within the mining industry. By applying a sustainable development framework, this article outlines the complex web of challenges associated with sustainable mineral extraction, ranging from technological and economic development to political and institutional concerns on how to govern and manage scarce resources in a globalized world.
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 | 0.000 | 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