Pain as Sign and Symptom: A Semiotic Analysis of Nursing Clinical Practice and Research
Bibliographic record
Abstract
Physical pain, far from being a monolithic sensation, is a complex and varied somatic response to trauma or pathophysiology. The body registers pain in response to a threat to bodily wholeness; the patient or clinician interprets pain, seeking to associate the pain with its cause (diagnosis or etiology) in order to undertake a remedy and to predict its future course (prognosis). In nursing clinical practice, wheresymptomassessment and management are central to the scope of practice, reading pain assign(the clinician’s empirical observation) or assymptom(an experience reported by the patient) entails complex interpretation and translation of the body’s manifestations. This article will make explicit the semiotic dimensions of nursing pain research (and its concomitant implications for clinical practice) in two cases : Xiaomei Cong’s research into procedural pain in infants in neonatal intensive care units (NICU) and Deborah Dillon McDonald’s research into pain communication between older adults with osteoarthritis or post-surgical pain and their healthcare providers.
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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 | 0.024 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.006 | 0.058 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".