Bibliographic record
Abstract
Keith A mbachtsheer, CFA is director of the Rotma n Interna tiona l Centre for Pension Ma na gement a t the University of Toronto, a nd is a n a djunct professor of fina nce a t the Rotma n School of Ma na gement.He is the founder a nd president of KPA A dvisory Services in Toronto, w hich provides stra tegic advice on governance, finance, and investment matters to governments, industry a ssocia tions, pension pla n sponsors, founda tions, and other institutional investors around the w orld.He is also co-founder of CEM Benchma rking Inc., w hich monitors the orga niza tiona l performa nce of pension pla ns around the w orld.He is the a uthor of three books a bout pension funds, and is a frequent contributor to the Financial Analysts Jo urnal, for w hich four of his a rticles w ere a w a rded the Gra ha m a nd Dodd Aw ard for ex cellence in investment w riting.Simon Bennett is a partner at CAPCO, focusing on delivering transformational change to capital markets clients.With over 20 years' ex perience prima rily at UBS Investment Ba nk a nd J. P. Morgan (Fleming) Investment Ma na gement, Simon ha s successfully delivered a va riety of la rge-sca le change programs on a global basis.He earned an MBA from Henley and is ACIB qualified.Peter L. Bernstein is president of Peter L. Bernstein, Inc., an advisor to institutional investors w orldw ide.He is the acknow ledged leader in susta ining the academic and practica l integrity of investment management.He w as founder of the Jo urnal o f Po rtfo lio Management and is the author of several books on economics and finance, the most recent of w hich is the best-selling Capital Ideas Evo lving (Hoboken: Wiley, 2007).Richard Bookstaber, PhD is a n a cknow ledged a uthority on globa l risk ma na gement a nd qua ntita tive resea rch.He w a s director of risk ma nagement a t Ziff Brothers Investments and at Moore Capita l Ma na gement.He ha s a lso held senior ma na gement positions a t Sa lomon Brothers a nd Morgan Stanley.He w rites frequently about investment risks.His most recent book is the w idely praised A Demo n o f O ur O w n Design (Hoboken: Wiley, 2007).He earned a PhD in economics from the Massa chusetts Institute of Technology.
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.622 | 0.535 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".