Dr. Norman Bethune, ejemplo de altruismo en la medicina y precursor del internacionalismo médico
Bibliographic record
Abstract
Background : the contribution of important personalities of the medical sciences to the improvement of the human health has been significant. Among them Norman Bethune has shone as one of the most important surgeons of the world and as an example of the noblest qualities of the medical profession. Objective : to introduce the life and work of the Canadian physician Henry Norman Bethune to the Cuban professional community, by means of the two most important features of his personality, altruism and internationalism. Methods : a research study on the life and work of the Canadian physician Henry Norman Bethune was carried out. Historical research methods were used, which included documentary review and interviews. The bibliography used in the study included printed, digital and audiovisual materials. Canadian experts and professors were interviewed. Results : Norman Bethune was a Canadian physician of the first half of the 20 th century. Specialized in surgery, he shone for his skills and for the design of several surgical instruments that were used in his time. He fought for the health of the poor and expressed the need for implementing socialized medicine in his country. On a worldwide scale he was notable for his help to countries oppressed by fascism that needed medical care in times of war, what makes him deserve the designation of precursor of medical internationalism. Conclusions : the most important actions of the life and work of Norman Bethune were described, laying emphasis on the altruist and internationalist nature of his personality and his work as a physician.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".