An entrepreneurial logic for the new economy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Managers and entrepreneurs are increasingly being challenged to respond to a world where it is harder to effectively make and implement their decisions. Over half the decisions managers make are never implemented. We have observed entrepreneurs and managers in a wide range of situations in various countries, who illustrate a different set of assumptions for making decisions. They illustrate an entrepreneurial logic, a process of creatively defining and taking action to make sense out of situations which require new frameworks, assumptions and understandings. They assume that many challenges are not predictable and controllable. Certain control‐oriented attitudes and behaviors inhibit people from thinking this way, such as attempts to make decisions without fully understanding the right question, and overly relying on statistics. Certain reframing attitudes and behaviors – diversity in thinking, asking the right questions, and reframing and adapting quickly – illustrate ways to make sense of the paradoxes and uncertainties in the new economy.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it