Doing Business in the Knowledge-Based Economy / La conduite des affaires dans l'économie du savoir
Bibliographic record
Abstract
This volume was prepared by a select group of international experts in response to a need expressed by the Canadian government to identify and analyze some of the major challenges facing governments in conducting business in the knowledge-based economy. Special emphasis is placed on identifying the policy issues which governments will need to address in the upcoming years. This volume presents essays in three primary categories: Trends and Forces Shaping the New Reality Restructuring and Reorganizing in a Knowledge-Based Economy Key Governance Issues in the Knowledge-Based Economy Part one describes the salient features of the knowledge-based economy. What are its economic underpinnings? What are its technological characteristics? Whereas, in the past growth was determined primarily by the availability of land, natural resources, labor, and capital, at the end of the twentieth century knowledge has become the major factor of economic growth. Part two examines management issues and economic phenomena typical of a knowledge-based economy. What makes new technology adoption and implementation successful? What can government do to make it more successful? Part three is directly focused toward questions of political economy and economic policy considerations, including technical, economic, and societal solutions. The volume concludes with a summary of the new ways in which firms and governments should manage business in a knowledge-based economy. Doing Business in the Knowledge-Based Economy edited by Louis-A. Lefebvre, Elisabeth Lefebvre and Pierre Mohnen Boston: Kluwer Academic Publishers, 2001, 494 p. Ce volume est issu de l'effort collectif d'un groupe choisi d'experts internationaux qui examinent, a la demande du gouvernement canadien, les principaux defis associes a la conduite des affaires dans l'economie du savoir. Ce livre comporte trois parties. Les textes de la premere partie ouvrent la discussion en brossant un tableau des principales caracteristiques d'une economie basee sur le savoir. Qu'y a-t-il de special dans une telle economie? Quelles sont ses caracteristiques technologiques? Les chapitres de la deuxieme partie analysent les changements structurels au niveau des institutions, des entreprises, des industries et des marches. Enfin, les chapitres de la derniere partie soulevent des questions fondamentales de regie et d'economie politique. On conclut en faisant la synthese des enjeux et des principales pistes d'intervention sur le plan des politiques publiques. La conduite des affaires dans l'economie du savoir sous la direction de Louis-A. Lefebvre, Elisabeth Lefebvre et et Pierre Mohnen. Paris : Economica, 2001, 575 p.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".