Handbook of Canadian security analysis : a guide to evaluating the industry ors
Bibliographic record
Abstract
Acknowledgments Preface Introduction The Role of the Bank Credit Analyst: Assessing the Creditworthiness of Banks An Overview and Introduction to Bank Credit Analysis: Source Materials and Disclosure Deconstructing a Bank's Financial Statements, Part One: Understanding the Income Statement Deconstructing a Bank's Financial Statements, Part Two: The Balance Sheet Introduction to Bank Credit Analysis: The CAMEL Model Earnings & Profitability: Evaluating Overall Performance. Earnings & Profitability: Evaluating the Interest Income and Non-Interest Income Components of Revenue An Introduction to Asset Quality: Non-Performing Loans and the Credit Cycle Qualitative Review of Asset Quality Quantitative Review of Asset Quality Capital: Cushion Against Loss Capital Adequacy: The Basel Accord and Proposed Changes Funding and Liquidity, Part I: Liquidity and Asset-Liability Management Funding and Liquidity, Part II: Funding the Bank and Ratio Analysis Management and the Bank Visit The Risk Management Context: The Practical Application of Credit Assessments The Banking Environment: Sovereign Risk, Systemic Concerns and Approaches to Government Regulation The Regulatory Regime: The Contours of Prudential Regulation of Banks The Distressed Bank, Part I: Introduction to Restructuring The Distressed Bank, Part II: Aims and Methods of Restructuring The Distressed Bank, Part III: Recapitalization The Distressed Bank, Part IV: Illustrative Approaches to Restructuring-Malaysia and South Korea The Distressed Bank, Part V: Illustrative Approaches to Restructuring-Indonesia and Thailand Rating the Bank, Part I: The Ratings Industry and its Rationale Bank Rating Types and Symbologies: A User's Guide Fixed Income Analysis Applied to Financial Institutions E-Banking: The Internet and the Future of the Bank Appendix A: Sources and Further Reading Appendix B: Bank Analysis Toolbox - Ratio Compendium Appendix C: The New Basel Capital Accord: The January 2001 Proposal Due for Implementation by 2004 Appendix D: Glossary Index
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.217 | 0.098 |
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".