Beyond Ownership As Usual: The Implications of Steward-Ownership For Management Research
Bibliographic record
Abstract
Steward-ownership is a novel conceptualization of ownership galvanizing attention from entrepreneurs, business owners, policymakers, and academics around the world. Two main principles distinguish it from traditional models of ownership: (1) decoupling control rights and economic rights and (2) asset lock, whereby company resources cannot be privatized by shareholders. This curated conversation among 11 interdisciplinary researchers unpacks the transformative potential of steward-ownership for management theory. Contributors discuss how our current knowledge of steward-ownership, along with what we can come to know through targeted future research, offers important insights for scholarship on purpose, entrepreneurship, corporate governance, impact investing, hybridity, and alternative forms of organizing.
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 | 0.032 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.070 |
| Scholarly communication | 0.016 | 0.042 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".