Global corporate crime and the sino forest fraud in Canada
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
Sino-Forest, formed in 1994, was a "stock market darling which promised investors a way to cash in on China's rocketing economic growth by way of a booming domestic forestry business". 1,2The company claimed a market value of over $6 billion dollars and was Canada's largest, publicly-traded forest company.Sino-Forest's billion dollar success came to an abrupt end in June, 2011 when a short-seller investment firm specializing in Asia claimed that the company was a multi-billion dollar Ponzi scheme. 1 Following the allegations, Sino-Forests' stock price and bonds collapsed.As a result, Sino-Forest was forced to file for bankruptcy protection, which was granted.The company was dissolved and taken over by creditors as no buyer could be found.Several of the principles have since been charged with civil securities fraud by the Ontario Securities Commission.This paper examines the intricacies of the Sino-Forest scandal while contributing to a theoretical discussion on the role of structural holes in global capital markets.Here, we invoke Quinney's 3 analysis of capital, Chamblis's 4 notion of structural contradictions, and David Harvey's 5 theory of accumulation by dispossession ( 2004).
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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