Հանքարդյունաբերության ոլորտի կայուն զարգացման հեռանկարները Հայաստանում: SWOT վերլուծություն
Bibliographic record
Abstract
The purpose of the article is to present problems of sustainable development of Armenia's mining sector. The importance of the mining industry in the development of the economy of the Republic of Armenia is also assessed. Then models of the mining industry in Canada and Sweden are presented. Tasks arising in achieving the goal: to comparatively differentiate and identify economic and environmental priorities and disadvantages of the mining industry. A survey of Canadian and Swedish mining experiences is undertaken to find solutions to existing problems. The article uses the SWOT data analysis method. As a result, it is concluded that it is possible to develop the mining industry in accordance with international environmental standards and requirements, while at the same time providing economic benefits in this area. And among metal mining companies, only large companies or coalitions consisting of a few medium-sized mining companies should be formed, which will enable the development of the mining sector in accordance with the principles of sustainable development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.009 |
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; both teacher heads agree on what is shown here.
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".