Business Organizations: Practice, Theory and Emerging Challenges, 2nd ed.
Bibliographic record
Abstract
Business Organizations: Practice, Theory and Emerging Challenges, 2nd Edition is more than just a comprehensive update to Business Organizations: Principles, Policies, and Practice. It provides a detailed discussion of the fundamentals that shape this area of law, and reviews important debates surrounding the nature of business organizations and the role they play in Canadian society. Through this approach, this casebook aims to enhance the reader’s understanding of business organizations, and the ways in which legal and policy decisions impact how they function. In addition to substantial revisions and updates, this edition features entirely new material. Most notably, the text now includes chapters that engage emerging issues related to Indigenous peoples, which in part act as a response to the Calls to Action from the Final Report of the Truth and Reconciliation Commission of Canada. This edition also features a new chapter on social enterprises and the increased momentum of social entrepreneurship. Drawing on the perspectives of leading Canadian business scholars and commentators, this text is designed to be an accessible classroom and research resource. It is a must-have addition to the faculty, firm, or private library of anyone interested in the various dimensions of the law of business organizations. [From Business Organizations: Practice, Theory and Emerging Challenges, 2nd Edition | Emond Publishing]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.006 |
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".