Brazilian Validation of the Nursing Outcomes for Acute Pain
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Validate the outcomes from the Nursing Outcomes Classification (NOC) for the Acute Pain nursing diagnosis. METHODS: The content validation of the seven NOC outcomes and their respective indicators was performed using an adaptation of Fehring's model and was analyzed by descriptive statistics. FINDINGS: Six were classified as critical and one was classified as supplemental. From the total of 118 indicators, 103 were validated. Of these, 27 were classified as critical and 76 as supplemental. CONCLUSIONS: The use of the NOC is a viable alternative for the assessment and identification of best practices in nursing care. CLINICAL RELEVANCE: Validation studies of nursing classifications corroborate the use of the component elements of these instruments in a variety of care settings.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it