Entrepreneurship as a Platform for Pursuing Multiple Goals: A Special Issue on Sustainability, Ethics, and Entrepreneurship
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
Abstract The great challenge of sustainability is addressed by firms with varying levels of social and environmental responsibility and performance. Though traditionally, firms sought a balance, we argue that this is not enough. Rather, we advocate that the natural environment be the foundation on which society resides and the economy operates. Sustainable, ethical, entrepreneurial (SEE) enterprises are moving in this direction, seeking to regenerate the environment and drive positive societal changes rather than only minimizing harm. We also note that sustainability is justified and motivated by ethical considerations and pioneered by entrepreneurial engagement. The eight articles included in this Special Issue draw from cross‐disciplinary scholarship to elaborate how SEE enterprises approach sustainability through new organizational forms, business models and innovation, and new governance mechanisms. They also emphasize the roles of institutional forces and logics, government policies and social movements for promoting or impeding sustainable practices. Collectively, they reveal new and compelling insights while spotlighting the great questions for SEE enterprise that await study.
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 | 0.002 | 0.003 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it