Bibliographic record
Abstract
Micropolitics and Canadian Business explores the internal structure of industry politics in contemporary Canada. This "micropolitics" approach offers a revealing set of conceptual tools and models that illuminate the politics of everyday business at the industry, firm, and policy issue levels. It builds wider contexts in which the concrete particulars of business-government relations can be explored and understood in a systematic fashion. The approach developed is a comparative one. The book examines three industries—paper, steel, and airlines—carefully chosen to represent a revealing cross-section of a vast economic field covering the primary (resource), secondary (manufacturing), and tertiary (service) sectors of the economy. In addition, one industry (pulp and paper) is primarily export-oriented, another (steel) focuses mainly on domestic sales, and the third (air transport) is strongly grounded in both. The book applies to each a common set of questions and applies a similar set of methods. Separate chapters on each industry begin with a brief review of current industry concerns, followed by a historical and structural survey of that industry. Each chapter continues with studies of two leading firms, highlighting their internal politics and their strategic orientations. Since firms are the building blocks of industry, they tell us much about the larger structures of political power. Finally, each chapter examines two significant public policy controversies whose scope extends beyond core business boundaries. Micropolitics and Canadian Business specifically analyzes three industries; however, the approach used may be applied to a much wider universe of companies and sectors. Throughout, this book furthers our understanding of the complex contexts of business politics. As such, it will be of interest to both students and practitioners of business and government relations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.040 | 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".