Pragmatist Foundations of Research on Entrepreneurial Strategy
Bibliographic record
Abstract
American pragmatism provides a rich intellectual foundation that accommodates diverse practices in service of “usefulness” and as such is well-suited to examine formation of entrepreneurial strategies that aim at changing the status quo, while facing fundamental uncertainty associated with such attempts. Research on entrepreneurial strategy drawing on pragmatism is burgeoning but remains dispersed across research communities. For example, one branch of such research focuses on how entrepreneurs adapt and evolve their ideas using scientific reasoning to test beliefs about (future) states of the world, while another branch focuses on the generative power of entrepreneurial agency employing abductive reasoning for creative world-making. There is, however, substantial potential for cross-pollination between such branches. This symposium will bring together a diverse group of leading scholars from these areas of research, to create a common ground of key pragmatist assumptions, raise open questions for future studies examining the phenomenon of entrepreneurial strategy formation, and chart opportunities for a fruitful (joint) research program.
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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 | 0.019 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.004 | 0.054 |
| Scholarly communication | 0.014 | 0.015 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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".