Columbia Law School Roundtable on Public Aspects of Private Equity
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
The mandate of the broader private equity “ecosystem” goes well beyond earning competitive returns for the limited partners and their beneficiaries. After noting that PE investing is encountering ever larger “headline” and social risks, the panelists were in complete agreement that LPs should exert greater pressure on PE sponsors to take account of and try to address negative externalities when buying and operating their portfolio companies. Bain Capital's Double Impact Fund, for example, while always looking for ways of increasing profits and reducing risk, sets out to have a positive influence on its non‐investor stakeholders, including employees. To that end, Bain develops and tracks company‐specific metrics linked to positive outcomes, and then links those metrics to management compensation. And the director of ESG programs at the International Limited Partners Association points to ILPA's programs for diversity and inclusion as a promising model.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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