Bibliographic record
Abstract
A pediatrician, provincial politician, and pioneer of interfaith dialogue, Victor Goldbloom (b. 1923) has led a rich and varied life. Deeply committed to social issues, his dedication to reconciliating French and English, federalists and sovereignists, Christians and Jews, and his understanding of public health, the environment, and minority communities are unparalleled. Born in Montreal, Goldbloom received his medical degree from McGill University in 1945. A practising pediatrician for many years, he entered public life in 1962 as a governor of the College of Physicians and Surgeons of Quebec and in 1966 was elected to the Quebec Legislature. In 1970 he became the first member of Quebec’s Jewish community to serve in the provincial cabinet, under Premier Robert Bourassa. A minister of the National Assembly until 1979, Goldbloom served as Quebec’s first environment minister, and later as municipal affairs minister and minister responsible for the Olympics Installations Board. In the early 1990s he became Canada’s Commissioner of Official Languages. In Building Bridges - a collection of personal anecdotes, media coverage of his impressive career, and transcriptions of two historic speeches - Goldbloom recounts the details of his remarkable life and lifelong commitment to Quebec and to Canada.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.140 | 0.044 |
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".