Tougher Boards for Tougher Times: Corporate Governance in the Post- Enron Era
Bibliographic record
Abstract
Praise for Tougher Boards for Tougher Times Written by one of Canada's leading and most experienced directors, Tougher Boards for Tougher Times is a must-read for all aspiring, current and seasoned directors. This eye-opening book inspires all of us to strive for excellence and integrity in the boardroom in an intelligent, informative and pragmatic way. Beverly Topping, President & CEO, Institute of Corporate Directors and ICD Corporate Governance College 'tick the box' requirements of good governance are now well understood and broadly followed. These are the basic foundations for good governance. Dimma makes a real contribution to moving from that base to the new level of governance performance required in today's corporate environment, drawing on practical experience and relevant examples of how governance can be improved. The Honorable Michael H. Wilson, Chairman, UBS Canada, and Chairman, Canadian Coalition for Good Governance Dimma uses a light touch in bringing to bear all the wisdom of his vast boardroom experience. He shows that it's not just what you do as a director, it is also the way that you do it that matters in the post-Enron boardroom world. Phillip Crawley, Publisher and CEO, The Globe and Mail If all corporate directors had carried out their responsibilities as capably as Bill Dimma, corporate governance would not be such a controversial issue as it is today. This is a 'must read' for directors as well as our future business leaders--the business students of today. It is an opportunity for all of us to learn from a pro! Carol Stephenson, Dean, Richard Ivey School of Business, The University of Western Ontario In the world of corporate governance three things matter most: experience, experience, and experience. Bill Dimma is the voice of experience. His latest book cuts through all the theories and fads in the corporate governance craze and offers truly useful advice. Governor Jim Blanchard, Former Governor of Michigan, Former U.S. Ambassador to Canada, and Corporate Director
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.023 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".