Acquisition and operation of oversea junior listed resources company——A case study on Canaco Resources Inc.
Bibliographic record
Abstract
Sinotech Minerals Exploration Co.,Ltd.(Sinotech) participated in the private placement of Canaco Resources Inc.(Canaco) in 2009 and subscribed for 35.2% shareholding of the offering at C $ 0.05,which defined Sinotech as the largest shareholder of the company.Consequently Canaco commenced drilling in Magambazi Property in Handeni project,Tanzania and continued making significant exploration breakthroughs.The series of discoveries have motivated the price of Canaco vigorously and by December 10th,2010,the stock price climbed up to C $ 6.05,which is more than 100 times of the initial price when Sinotech made the equity investment.The market value of Canaco increased from about two million Canadian dollars before Sinotech participated the placement to around one billion dollars,which defines Canaco as a stock with the best growth in TSX Venture Exchange,and Sinotech was praised in the market as the company conducting the most successful investment in the year.This paper brings the private investment into full explanation and shares the key operating procedures as well as the conclusions drawn from the development of the company.The authors take the viewpoint that investment in overseas public junior exploration companies,utilization of the overseas capital market to dynamically integrate technology and capital turn out to be an important way to promote the international business for Chinese exploration institutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".