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Record W3154414325 · doi:10.7202/1076231ar

Pain as Sign and Symptom: A Semiotic Analysis of Nursing Clinical Practice and Research

2021· article· en· W3154414325 on OpenAlex
Thomas Lawrence Long

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecherches sémiotiques · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSemioticsHealth careSign (mathematics)PsychologyPhysical therapyNursing

Abstract

fetched live from OpenAlex

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, where symptom assessment and management are central to the scope of practice, reading pain as sign (the clinician’s empirical observation) or as symptom (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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.046
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.305
GPT teacher head0.555
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it