Advances in the Study of Entrepreneurship, Innovation and Economic Growth
Bibliographic record
Abstract
Citation (2011), "Advances in the Study of Entrepreneurship, Innovation and Economic Growth", Libecap, G.D. and Hoskinson, S. (Ed.) Entrepreneurship and Global Competitiveness in Regional Economies: Determinants and Policy Implications (Advances in the Study of Entrepreneurship, Innovation and Economic Growth, Vol. 22), Emerald Group Publishing Limited, Bingley, p. ii. https://doi.org/10.1108/S1048-4736(2011)0000022014 Publisher: Emerald Group Publishing Limited Copyright © 2011, Emerald Group Publishing Limited Book Chapters Entrepreneurship and Global Competitiveness in Regional Economies: Determinants and Policy Implications Advances in the Study of Entrepreneurship, Innovation and Economic Growth Advances in the Study of Entrepreneurship, Innovation and Economic Growth Copyright Page List of Contributors Introduction: Entrepreneurship and Global Competitiveness in Regional Economies: Determinants and Policy Implications Chapter 1 Globalization and Directed Technological Change at the Firm Level: The European Evidence Chapter 2 Globalization and Innovation in Advanced Economies Chapter 3 A Series of Unfortunate Events: The Growth, Decline, and Rebirth of Ottawa's Entrepreneurial Institutions Chapter 4 Entrepreneurship and Growth: What Causes What? Chapter 5 The New “Cluster Moment”: How Regional Innovation Clusters can Foster the Next Economy Chapter 6 Wichita's Aircraft Manufacturing Cluster, Knowledge Spillovers, and the Emergence of a Medical Device Manufacturing Cluster Chapter 7 The Role of Labor Market Institutions on Entrepreneurship Dynamics in Times of Crisis: Evidence from European Countries Chapter 8 Knowledge Structure and Regional Economic Growth: The French Case Chapter 9 An Innovative Vision for Economic Development in Higher Education: An Essay on Balancing Community Growth and Global Competitiveness
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".