ORGANIZATIONAL ARCHITECTURE AND CORPORATE FINANCE
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
Author's Note This article is based on remarks I gave at the 2000 meeting of the Southern Finance Association (SFA). I was extraordinarily flattered to be named Distinguished Scholar for 2000 by the SFA; I would like to thank the members and officers of the association for this award. As an SFA board member, I participated in establishing the Distinguished Scholar program. The original idea was to broaden participation in SFA by more of the profession's senior researchers. Last year I believe we chose the ideal person for the inaugural award, Professor Richard Roll of UCLA. But I must admit that I felt somewhat awkward in accepting the award this year. Although I certainly appreciate having my work recognized, I have attended SFA meetings regularly over the last quarter century. They afford a wonderful opportunity to renew valued friendships (some going back to graduate school) and revisit my southern roots. So this award is quite special for me, even if I do not consider myself its ideal recipient.
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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