Le Beau Footwear: A Business Valuation Case for a Privately Held Firm
Bibliographic record
Abstract
ABSTRACT The case for Le Beau Footwear, which is based on actual events, examines the financial and legal decisions concerning a privately held Canadian retailer whose leased premises and entire inventory were destroyed by a suspicious fire in 1990. The focus of the case is on determining the monetary value of the lost profits that resulted from the insurer's delays in paying the indemnified amount. Within this context, this case provides a rich and comprehensive example of the application of the accounting return on investment (ROI) and the market-based opportunity cost of capital (OCC) techniques for valuation of a privately held firm. Further, the case demonstrates a sharp example of applying the results from previous studies of initial public offering (IPO) and small firm effect to make valuation adjustments that reflect the retailer's private ownership status and its small size. This case is intended for use in advanced accounting and finance courses in M.B.A., M.S. in Accountancy, and M.S. in Finance programs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".