Development of the nursing profession: From nursing angel to patient advocate
Bibliographic record
Abstract
This reflection article deals with the nursing profession and its skills. The discussion begins with the birth of nursing and how it has advanced from the angel of nursing to scientific technical nursing in some parts of the world. The aim of this paper is to present a new kind of nurse, the patient advocate and its relation with clinical economics. The work of the “Patient Advocate” is based in the best health care, observing lower costs of resources, particularly those which affect the patient’s quality of life, and identifying and questioning the team’s decisions which are not supported by the principles of clinical economics. As a result, “Patient Advocate” is a proposal that encourages social actors to invest in the academic training of nursing personnel as well as in improving nurses’ clinical and methodological competency, proactivity, and leadership in relation to health care.
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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 | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.027 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".