Alternative methods of attracting investments in the gold mining industry: Russian and foreign experience
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
The article reveals the possibilities of alternative ways of attracting investments in gold mining. It has been determined that at present the most popular way of attracting funds to the project is to organize and conduct an Initial Coin Offering (ICO). The paper analyzes the ICO market, with 8 gold mining companies participating in the results of 2017–Q3 2019, half of which successfully conducted ICO and implement their projects to develop the or e deposits they discovered; 3 more companies are conducting ICO now. The analysis of the completed ICO projects displays that most companies equate the placed coin (token) with the cost of 1 kg of gold. Within the study parameters, the authors also review the existing studies concerned with investment in the gold mining industry. It has been found that that at present there are no works devoted to the study of the new economic and legal phenomenon of ICO projects in the field of investing in the gold mining industry. During the research the statistics of the World Gold Council were analyzed in order to identify the countries that lead the market in gold mining. In accordance with the sample of the leading countries for gold mining, the authors review the legislation of these states, which regulates the organization and conduct of ICO by gold mining companies. As a part of this study, the legislation and economic characteristics of Australia, the Russian Federation, the United States of America and Canada are examined. The paper reveals the general trends that enable to point out the aspects that need to be taken into account when organizing ICO by such companies. For the conditions of the Russian Federation certain practical recommendations were developed aimed at establishing the regulation of the ICO as a new economic and legal phenomenon with a view to increasing the investments inflow into the gold mining industry.
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