Helen Howitt: una semilla canadiense en la enfermería latinoamericana
Bibliographic record
Abstract
This work's purpose is to make more visible Hellen Howitt's presence in Latin American nursing. At the same time it pretends to make an analysis on the political influence of the Interamerican Cooperative Public Health Services in nursing in the region and the presence of religious organizations, especially North American ones in several Latin American countries. Helen Howitt, a Canadian nurse who graduated from the University of Alberta, was sent in 1942 by the PAHO (Pan American Health Organization) to advise the Colombian Ministry of Labor, Hygiene and Social Provision. She became part of the opening and organization project of the Escuela Nacional Superior de Enfermeras (National Nursing School) where she be-come their first director. Helen Howitt was director of the Nursing School of Santo Tomas Hospital in the Panama Canal zone between 1933 and 1938, later she became the founder and first director of Colombia's National Nursing School between 1943 and 1951; afterwards of Bolivia's National Nursing School between 1953 and 1959, when she was invited to fulfill a similar position in Venezuela. She arrived to all these countries first as consultant of the respective Ministry of Health, through Agreements with the Interamerican Cooperative Public Health Services. The Rockefeller Foundation used to provide scholarships to all Latin American countries, At Santo Tomas Hospital School in Panama there used to be students from all parts in Central America, Venezuela, Colombia, Ecuador and Argentina. The Rockefeller Foundation wanted to unify nursing throughout Latin America. It first arrived in Venezuela and nurses who graduated in Panama were leaders in Latin America where they tried to open schools.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".