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Record W2363792188

Acquisition and operation of oversea junior listed resources company——A case study on Canaco Resources Inc.

2011· article· en· W2363792188 on OpenAlexaboutno aff
Lingling Yang

Bibliographic record

VenueMineral Exploration · 2011
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsFinanceEquity (law)ShareholderBusinessShare priceStock exchangeInvestment (military)Venture capitalCapital expenditureShareholder valueCorporate governance
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.225
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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