The New Millennium in Health Research Funding: Introducing Canadian Institutes of Health Research
Bibliographic record
Abstract
across a broad spectrum of disciplines targeting four crosscutting research themes: fundamental biomedical research; clinical and applied research; research directed toward advancing knowledge of health systems and health services; and research that addresses the social, cultural, and environmental factors that affect the health of populations.Curiosity driven research by individual scientists will continue to be an important component of CIHR programs.Additionally, there will be emphasis on the promotion of multidisciplinary and collaborative research, fostering of unique partnerships (such as with the voluntary health agencies, other government agencies, or industry), capacity building, and integration of CIHR programs with Canada's health care system.The CIHR leadership structure includes the President, Dr. Alan Bernstein, and a Governing Council of 18 members from diverse backgrounds representing the crosscutting themes for health research.The Governing Council first established the suite of institutes and their general mandates.It will be responsible for setting the overall strategic directions, goals, and policies for CIHR as well as establishing the need and functions of offices (such as for ethics or international health) and special advisory committees established under CIHR.On July 25, 2000, Minister Rock and Dr. Bernstein announced the designation of 13 institutes that will comprise CIHR: Nutrition, Metabolism and Diabetes ( including gastroenterology, hepatology and pancreatology); Human Development and Child and Youth Health; Population and Public Health; Musculoskeletal Health and Arthritis; Neurosciences, Mental Health, and Addiction; Infection and Immunity; Healthy Aging; Genetics; Gender and Health; Cancer Research; Circulatory and Respiratory Health; and Aboriginal Peoples' Health.Although there are some similarities between the new CIHR and the NIH model in the United States, the institutes within CIHR will be "virtual."The responsibility of each institute is to
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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 | 0.060 | 0.075 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.018 | 0.015 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".