Bibliographic record
Abstract
Abstract The risks associated with, geographic locations of, and engagement strategies required by exploration companies have shifted in the last 25 years, largely in response to changing public attitudes and governance approaches. A mixture of growing global environmental consciousness, the rise of international civil society networks, and economic liberalization and government deregulation in the developing world have all played key roles in altering the environment for mineral exploration. Three fundamental tenets of a positive climate for exploration have been altered: access to land, ease and speed of permitting, and the right to mine deposits after discovery. This paper identifies the importance of new stakeholders, including nongovernmental organizations, international financial institutions, and community activist networks; new governance approaches, such as self-regulation, the use of international standards and co-management, and new monitoring and engagement techniques, such as environmental and social impact assessment, thirdparty monitoring, and prior informed consent. The traditional relationship focus between states and corporations has been replaced by constantly evolving relationships among corporations, governments, civil society, and affected communities. Exploration companies, particularly junior companies, must use available tools—early community engagement strategies and available guidance documents from industry associations among them—to adapt themselves to this new focus.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".