Organizational and Institutional Entrepreneuring: Introduction to the Special Issue
Bibliographic record
Abstract
In our Introduction to this Special Issue on Organizational and Institutional Entrepreneuring, we draw attention to the importance of recognizing how processes and practices of entrepreneuring take place in the context of an already organized world. We particularly draw attention to how such entrepreneuring processes, as imaginative-poetic extensions beyond the present, can occur in a variety of societal, institutional and organizational contexts. Overall we focus on entrepreneuring as the process of creating organization. As a result, we believe that important insights arise by drawing attention to ways of ‘starting’ and ‘actualizing’, rather than conceptualizing entrepreneurship as something that was already ‘started’ in the past. This Special Issue thus helps to provide much-needed scholarship that expands our knowledge base and provides a foundation for future research. We conclude our Introduction with a summary of the articles making up this Special Issue, noting the ways that each article helps to advance our knowledge base about the processes of entrepreneuring.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.029 | 0.011 |
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".