Bibliographic record
Abstract
When an organization reaches a milestone it seems only natural to celebrate the occasion.So it was in September 2008 that MacDougall, MacDougall & MacTier, affectionately known as "3 Macs," gathered in Montreal with their current employees and many of their alumni, with their spouses and dates, for an evening of celebration of our 150 years.It was at this occasion that I announced that a history of the firm was being written to document the role that the MacDougall family and their associates had played in the financial industry in Canada over these many years.The idea had originated with Athol Gordon, a family friend, who made his second career with 3 Macs.Little did I think that there was a story in it, but James Ferrabee and Michael Harrison proved me wrong, and also wrong in another way.It was discovered that we were out by nine years on the anniversary date, a mistake for which I take full responsibility.It seems that our origins go back to 1849, which means that we can now celebrate 160 years in 2009!!The family tree, included as an appendix, shows that there was always more than one MacDougall family member from each generation who worked in the firm.However, family participation wasn't limited to the MacDougalls.In 2008 we had numerous family members of Watsons, Gallops, Blacks, Westons, Perrys and Berrys, Sears, MacCallums, Rebers, and of course Prices.One way or another, it was the ability to attract high-quality partners or associates that made it possible to grow from a firm of several part-
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.066 | 0.023 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".