Advances in Strategic Management
Bibliographic record
Abstract
Citation (2012), "Advances in Strategic Management", Kahl, S.J., Silverman, B.S. and Cusumano, M.A. (Ed.) History and Strategy (Advances in Strategic Management, Vol. 29), Emerald Group Publishing Limited, Bingley, p. iii. https://doi.org/10.1108/S0742-3322(2012)0000029017 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters History and Strategy Advances in Strategic Management Advances in Strategic Management Copyright Page List of Contributors The Integration of History and Strategy Research Economic Experiments and the Development of Wi-Fi Platforms Versus Products: Observations from the Literature and History Patent Pools: Licensing Strategies in the Absence of Regulation Marrying History and Social Science in Strategy Research The Evolution of Alternative Business Models and the Legitimization of Universal Credit Card Industry: Exploring the Contested Terrain where History and Strategy Meet Strategy Followed Structure: Management Consulting and the Creation of a Market for “Strategy,” 1950–2000 Strategy, Ideology, and Structure: The Political Processes of Introducing the M-form in two Dutch Banks History in Strategy Research: what, why, and how? Audience Structure and the Failure of Institutional Entrepreneurship Orphaned Jazz: Short-Lived Start-ups and the Long-Run Success of Depression-Era Cultural Products
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.019 |
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".