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The dissection of risk: a conceptual analysis

2008· review· en· W2164151224 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

VenueNursing Inquiry · 2008
Typereview
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMeaning (existential)PopularityPoliticsTerm (time)NursingFormal concept analysisNatural (archaeology)PsychologyNursing researchEpistemologySociologyMedicineSocial psychologyPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

Recently, patient safety has gained popularity in the nursing literature. While this topic is used extensively and has been analyzed thoroughly, some of the concepts upon which it relies, such as risk, have remained undertheorized. In fact, despite its considerable use, the term 'risk' has been largely assumed to be inherently neutral - meaning that its definition and discovery is seen as objective and impartial, and that risk avoidance is natural and logical. Such an oversight in evaluation requires that the concept of risk be thoroughly analyzed as it relates to nursing practices, particularly in relation to those practices surrounding bio-political nursing care, such as public health, as well as other more trendy nursing topics, such as patient safety. Thus, this paper applies the Evolutionary Model of concept analysis to explore 'risk', and expose it as one mechanism of maintaining prescribed/ proscribed social practices. Thereby, an analysis of risk results in the definitions and roles of the discipline and profession of nursing expanding from solely being dedicated to patient care, to include, in addition, its functions as a governmental body that unwittingly maintains hegemonic infrastructures.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.950
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.207
GPT teacher head0.511
Teacher spread0.305 · 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