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
Relieving patients' pain following surgery is a major nursing goal. However, patients report that effective postoperative pain management is often not achieved (Soderhamn & Ivall, 2003). Effective pain management may be facilitated when nurses use empathic responses with patients. To date, the effectiveness of empathic responses has not been well-grounded in research evidence. The purpose of this study is to examine the relationship between nurses' empathic responses, analgesic administration and patients' reports of pain intensity following orthopedic surgery. The conceptual framework is the Gate Control Theory of Pain (Melzack & Wall, 1965). The setting is two moderate size hospitals in the Mid-Western United States. A convenience sample of 60 nurses and 120 patients who have had a total hip replacement will be recruited to participate. Sixty nurses will complete the Staff-Patient Interaction Response Scale (SPIRS) (Gallop, Lancee, & Garfinkel, 1989) and the Toronto Pain Management Inventory (TMPI) (Watt-Watson, 1987). Patient instruments will complete the McGill Pain Questionnaire-Short Form (MPQ-SF) (Melzack, 1987) and the Nurse Attends to Pain Scale (NAPS) (Watt-Watson, 2000). Results of the study will clarify the usefulness of empathic responses as a nursing strategy to manage postoperative pain.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.009 |
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