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Record W3030366178 · doi:10.1002/symb.490

“Sensory Ordering” in Nurses' Clinical Decision‐Making: Making Visible Senses, Sensing, and “Sensory Work” in the Hospital

2020· article· en· W3030366178 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSymbolic Interaction · 2020
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSensory systemNarrativeFocus (optics)Clinical decision makingWork (physics)PsychologyFocus groupMedicineCognitive psychologySociologyFamily medicineArt

Abstract

fetched live from OpenAlex

The objective of this article is to present a study on the constitutive role of senses in clinical decision‐making. The methodology is based on a series of focus groups with nurses in various hospital departments. Based on a narrative approach, our study examines “sensory work” in clinical decision‐making in order to reveal its specificity in the clinical work of nurses. Nurses shared stories—in focus groups—about the influence of senses in clinical decision‐making. The analysis of clinical narratives helped to identify various situations revealing the “sensory work” that underlines clinical decision‐making. We put the emphasis on the spectrum of sensory activities and the interactions occurring during a clinical decision‐making. One specific contribution of our study is to make visible the “sensory ordering” at work as constituted by interactions between nurses during a clinical assessment.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.063
GPT teacher head0.441
Teacher spread0.377 · 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