Bibliographic record
Abstract
The work of Claude Fortier is linked to the history of neuroendocrinology. Through him and his pioneer work in Montreal with Hans Selye, the << Man of stress >>, and at Laval University in Quebec City in his own laboratory, where all researchers involved in the study of the hypothalamo-hypophysial adrenal axis have been through, it is the whole saga of the search for the neuropeptide CRH (corticotropin releasing factor), and the harsh fight for the Nobel distinction that can be related. Among Claude Fortier's scientific discoveries, the feedback mechanisms of glucocorticoid hormones on brain and pituitary function, the presence of both mineralo and glucocorticoid receptors in some brain structures, and the introduction of computer science in biomedical research, can be cited. The consequences of these discoveries are illustrated in the pathologies linked to stress (anxiety, depression, addiction). Claude Fortier was not only a great figure in biomedical science, honored by several distinctions, but also an important personality in the policy of research in which he played a prominent role in Quebec medical research and allowed it to rank among the best in the world.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".