Dear Chairman: Boardroom Battles and the Rise of Shareholder Activism, by Jeff Gramm
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
Dear Chairman: Boardroom Battles and the Rise of Shareholder Activism is an intriguing look at decades of shareholder disputes, proxy battles, and boardroom battles that have shaped US corporate law. Jeff Gramm, an adjunct professor at Columbia Business School who has also spent a notable part of his career serving as a director for public companies and as a portfolio manager at a hedge fund, offers a refreshing take on shareholder activism and the tensions that underlie US corporate law. Written in an accessible fashion that is free from legalese or overly complex descriptions of business transactions, Gramm provides a unique opportunity for readers to take a glimpse ‘behind the curtain’ and feel as if they have a seat at the table in some of America’s most dramatic boardroom moments. Gramm’s work results in an engaging historical exploration of the evolution of shareholder activism that subtly suggests that this rich history is responsible for “today’s hostilities” in the boardroom.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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