Vale S.A.: Cobalt Streaming
Bibliographic record
Abstract
ABSTRACT The case “Vale S.A. — Cobalt Streaming” describes a transaction that has taken place at Vale, a Brazilian mining company, and one of the most important in its segment. The transaction was developed to de-risk an important project for an expansion of a mine in the province of Newfoundland & Labrador in Canada. By streaming the cobalt production, Vale was able to get a competitive internal rate of return for the project compared to the lower level of risk the project would then offer. The case detailed the negotiation since the beginning until the company faced the challenge of choosing from the final proposals. The case allows the discussion of important aspects regarding project valuation: risk mitigation through the streaming negotiation, several different types of risk influencing the main issue of the case, decisions about the assumptions used, discussion about debt/equity characteristics on the overall project from Vale’s perspectives, and the evaluation of a project with non-conventional cash flow, given a substantial upfront revenue due to the streaming contract. So, the case is recommended for the disciplines of Financial Management, Project Valuation, or Risk Analysis in post-graduate courses of Business Administration and Finance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".