Bibliographic record
Abstract
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.
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.019 |
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; both teacher heads 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".