Bibliographic record
Abstract
Introduction to the Ivey Casebook Series - Paul W. Beamish Preface Introduction 1. Ethics of the Firm's Relationship With Its Shareholders Northeastern Mutual Life: Preparing for Employee Terminations Enron Corp. Acme Hardware Fardo Industries Inc. The Ontario Capital Group The Jeffrey Verde Account 2. Ethics of the Relationship Between the Firm and Its Customers Hayward & Guzman: Disposable Contact Lenses Cruickshank, Garth & Romano Grandview Excavators Ltd. Peter Farber (A) 3. Ethics of the Firm's Relationship With Its Employees Matt Moreau's Dilemma Coastal Uniforms CXP Publishing Inc. (A) Canadian Imperial Bank of Commerce: Digital Employee Privacy Stamford Machine Corporation: Allegations of Racism 4. Ethical Issues in International Business Siam Canadian Foods Co., Ltd. NES China: Business Ethics (A) N.K.Builders and Contractors-India Citibank Mexico Team: The Salinas Accounts Bank of Nova Scotia (Brady Subpoena) (A) Yahoo v. Survivors of the Holocaust Talisman Energy Inc. 5. Ethical Issues in Business Policy and Strategy Biovail Corporation (A) Enron - What Went Wrong OrangeWerks: A Question of Ethics www.centralmba.com Ethics Management at Imperial Oil Ltd. 6. Corporate Social Responsibility AWC Inc.: The Ventilation Dilemma Ethical Funds - The Stevensons' Debate The Rent-to-Own Industry Pembina Pipeline Corporation 7. Individual Ethics in the Corporation Jane Lennox Simon Donato: Deciding on a Course of Action TALFI-Sudbury Canada Winston Liu, Bookman WestWood Securities (A) Harrison-Lockington (A) Graham Stewart - General Manager (A) John McCulloch - United Beef Packers Stephen Zhang's Opportunity Tanya Silk About the Editor
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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 | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.056 | 0.011 |
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".