Hans Hugo Bruno Selye and the stress, a milestone in the modern medical history
Bibliographic record
Abstract
Background: Hans Hugo Bruno Selye, Austro-Hungarian physiologist and physician, born January 26, 1907, later naturalized Canadian citizen, this man who lived 75 years and became the Director of Experimental Medicine and Surgery Institute of Montreal University in Canada, until his retirement in 1970. He passed away in 1982, in the same city. Objective: Describe the life and achievements of the distinguished academic Hans Hugo Bruno Selye and the history of stress as a milestone in modern medical history. Methodology: A historical retrospective study was conducted using theoretical methods such as documental and historical-logical analysis. Development: The doctor began to build his famous theory about the influence of stress on the ability of persons to cope or adjust to the injury or illness consequences in the second year of his medical studies (1926). He discovered with this investigation that patients with a variety of ailments exhibited similar symptoms, which could be attributed to the organism efforts to respond to the condition of being sick. He named this set of symptoms stress syndrome or general adaptation syndrome (GAS). Conclusions: This physician is one of the greatest personalities in medical history; his stress theory provided a transcendental conceptual framework for later issues of the mechanisms and manifestations for stress reactions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".