Historical evolution of the training of human resources in Nursing in Pinar del Río. 1961-2004
Bibliographic record
Abstract
Introduction: the program of training of human resources in Nursing undertaken in recent years has allowed the graduation of a significant number of nurses who have increased in quantity and quality for years as a necessary and possible way to raise the quality of the training of human resources in health. Objective: to describe the historical evolution of human resources training in Nursing in Pinar del Río from 1961 to 2004. Method: probabilistic sampling of the target group was made up of 100 professors and 80 graduates, for a total of 180. Non-standardized interviews and questionnaires were applied having a historical cultural approach that allowed analyzing the origin and development of the evolution of the training of nurses. Descriptive statistics was the method used. Results: the period from 1965 to 1976 concluded with the graduation of 1 876 graduates in the first School of Nursing and at Marina Ascuy Labrador in the period of 1975-2004. After this period they are trained at Simon Bolivar Health Polytechnic Institute and conclude with the graduation of 5 757 nursing technicians, which made a great impact on the contribution of human resources. Conclusions: the training of human resources in nursing increases the quality of care to people, family and community; it is a priority in the country. In Pinar del Río its beginning included the formation of Nursing Assistants and Technicians.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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; a candidate call from one teacher head, 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".