Bibliographic record
Abstract
Jules Arthur (Peter) Paré MDCM, BSc, FACP, was a clinician teacher and respirologist at McGill University for over 50 years. He had his biggest impact on respiratory medicine by publishing 4 editions of Diagnosis of Disease of the Chest. This innovative textbook was conceived by Paré and his good friend and colleague Robert Fraser. First published in 1970, it offered a novel approach to the diagnosis of lung disease based on the pattern of radiological abnormality. The book went through 4 editions over the next 20 years interspersed with publications of a number of Synopsis of Diagnosis of Disease of the Chest; condensed versions of what grew to be a 4-volume tome. For the later 2 editions of the book, Paré and Fraser recruited their sons, Richard Fraser, a pulmonary pathologist and Peter David Paré, a clinician-physiologist as coauthors and, for the ultimate edition, added Neil Colman and Nestor Mueller for their clinical and radiological expertise. The book influenced a generation of radiologists and respirologists. Paré is remembered for his teaching; with his colleagues in pulmonary radiology, physiology and pathology, he offered a Socratic learning experience that influenced a generation of trainees at McGill. Paré was also involved in important clinical research. He was among the first to use corticosteroids for the treatment of asthma and granulomatous lung disease, was on the team that performed the third-ever human lung transplantation and played a pivotal role in the first description of a gene for hereditary hypertrophic cardiomyopathy.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.034 | 0.039 |
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".