Türkiye’de Maden Firmalarına Finansal \nDestek Sağlamak Amacıyla Borsaya \nKatılım Sürecine İlişkin Öneriler
Bibliographic record
Abstract
Mining activities a sector that requires large capital and have a big risk related to the retrun of the invested capital worldwide. Lots of large and small scale international companies continue their operations by applying new joints to the company as an alternative method in order to distribure the risks for long term investments instead of using their own equity. \nThe method of having joint to the companies is the cheapest financing way worldwide, nowadays. This application can also be realized by selling company shares to one or more partners as public shares. So, many mining companies running the activites to meet their capital requirements by selling some portion of their shares through the public offering in a more certain manner. \nThe evaluation of public offering of the mining firms and Toronto Stock Exchange which is one of the most important stock exchage in World, has been analyzed in this study. Toronto Stock Exchange is a stock exchange where 37% of the listing companies are mining firms and defined as a mining stock exchange in the World. \nMine asset reporting standard is one of the important criteria for listing mining companies at Toronto stock or similar exchanges. It is known that, different mine asset reporting standard applications are accepted in the stock exchanges of various countries together with their own national mine asset reporting standard application. UMREK, which is the mine asset reporting standard of Turkey, has been valid in 2018. So, one of the necessary steps have been realized in order to list the domestic and foreign companies in the stock exchange of our country. \nAn evaluation as been made for mining companies which may contribute to the strenthening of the sector in our country by participating at Borsa Istanbul (BIST) or a sub-market of BIST100 for large and small particularly small and medium scale companies within next years, in this thesis. The terms of listing a firm to Toronto Stock Exchange has been taken as a guidance. A brief information is given about how the possible Turkish Mining Exchange can be formed and the model proposal is presented with the given examples.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.053 | 0.013 |
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".