Bibliographic record
Abstract
In this report, we first develop a simplified example that illustrates the importance of considering the option ``waiting to invest'' when valuing an investment. This is followed by a short description of other options that could be embedded in an investment opportunity. In order to stress the importance of the real option mind-set in strategic planning and competitive assessment, we present three examples of possible applications of real options for evaluating investments at Bell Canada. A brief discussion follows on the importance of a real options mind-set in the telecommunications regulation context. Finally we conclude by underlining the importance of an efficient information gathering and processing framework to implement a real options framework. Two technical appendices provide more details on both the modeling and the solving techniques that are commonly used to implement real options. The complete version of this publication is confidential. Nous débutons ce rapport en développant un exemple simplifié qui illustre l'importance de valoriser l'option de retarder un investissement. Une courte description des différentes options susceptibles d'être incorporées dans un projet d'investissement est ensuite donnée. Pour illustrer l'importance d'adopter un cadre d'analyse basé sur la méthodologie des options réelles pour la planification stratégique et l'analyse concurrentielle, nous présentons trois applications possibles d'options réelles dans l'évaluation d'investissements chez Bell Canada. La nécessité de l'adoption d'un tel cadre d'analyse dans le contexte de la réglementation des télécommunications fait ensuite l'objet d'une brève discussion. Nous terminons en soulignant que le succès de la mise en pratique d'un cadre «options réelles» dépend essentiellement d'un système efficace de collecte et de traitement de l'information. Deux appendices techniques fournissent plus de détails sur les techniques de modélisation et de solution qui sont couramment utilisées pour des problèmes d'options réelles. La version complète de cette publication est confidentielle.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.183 | 0.021 |
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".