Community Genetics and Dignity in Diversity in the Quebec Network of Genetic Medicine
Bibliographic record
Abstract
The Quebec Network of Genetic Medicine (QNGM), implemented in 1971, has been an integrated program of community genetics serving the population (approximately 7.5 million) of Quebec province in Canada. QNGM reported to the Minister of Social Affairs and operated under an umbrella of universal health insurance in the province. The Network's programs have been run by members of the four university medical schools of the province under the direction of a central committee. A global annual budget was awarded to QNGM from its inception. Among its many programs, QNGM supported: (1) two newborn screening programs (using blood and urine samples) for early diagnosis, treatment and research in phenylketonuria, hereditary tyrosinemia, congenital hypothyroidism, and in a large number of other hereditary metabolic diseases; (2) follow-up of confirmatory diagnostic tests at regional centers, followed by supervision of ambulatory treatment modalities; (3) carrier screening and reproductive counseling for Tay-Sachs and beta-thalassemia diseases; (4) a spectrum of feasibility (research) studies (e.g., screening for biotinidase deficiency, neuroblastoma, hemoglobinopathies, and cystic fibrosis) to inform policy decisions. QNGM performed economic analyses of its major programs and followed prevailing ethical guidelines. Its global budget and integrated structure terminated in 1994, although some of its programs continue independently.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".