Business with Purpose and the Purpose of Business Schools: Re-Imagining Capitalism in a Post Pandemic World: A Conversation with Jay Coen Gilbert, Raymond Miles, Christian Felber, Raj Sisodia, Paul Adler, and Charles Wookey
Bibliographic record
Abstract
The emergence of innovative business models suggests that the foundational assumptions of competitive capitalism are increasingly in doubt. Business schools, however, appear to be followers rather than leaders in this historical moment of social change. While consumers and businesses are experimenting with new models of capitalism, business schools have been slow to change. What role should business schools play in this emerging new era of purpose-driven capitalism and business with purpose? We explore this question in conversation with six global experts, three in academia and three in practice, who are leading this change. The experts conclude that business must serve the needs of humanity rather than the needs of business. Business schools, therefore, need to reduce their emphasis on how to make businesses more rational and efficient and should instead focus on how businesses can help address more fundamental questions of the human condition.
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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 | 0.015 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.043 |
| Scholarly communication | 0.014 | 0.021 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.013 | 0.024 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".