Business Organizations: Practice, Theory and Emerging Challenges, 3rd Edition
Bibliographic record
Abstract
Business Organizations: Practice, Theory and Emerging Challenges, 3rd Edition is more than just a comprehensive guide to the fundamentals of business structures, including partnerships and corporations. It highlights diverse perspectives on the objectives of business organizations, the roles and responsibilities of their officers and directors, and the functions of these organizations in Canadian society. This approach strives to promote a deep understanding of business organizations and of the ways in which legal and policy decisions impact their function. This thoroughly updated and reorganized edition introduces an entirely new chapter on the principles of agency, along with a fresh examination of Indigenous business structures, including commentary on the challenges of imposing organizational structures conceived outside indigenous communities to enterprises operating within them. The casebook features expert insights from three new authors: Frankie Young, Peer Zumbansen, and Barnali Choudhury. Drawing on the perspectives of leading Canadian business scholars, this casebook 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, 3rd Edition ]
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 0.010 |
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".