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ADVOCACY IN INTENSIVE CARE AND HOSPITALIZATION BY COURT ORDER: WHAT ARE THE PERSPECTIVES OF NURSES?

2019· article· en· W2982240817 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

VenueTexto & Contexto - Enfermagem · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsSt. Lawrence CollegeUniversity of Toronto
Fundersnot available
KeywordsIntensive careSnowball samplingNursingHarmDutyObedienceDuty of careNursing careMedicinePsychologyPolitical scienceLawSocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT Objective: to analyze how intensive care nurses practice patient advocacy in view of the need for hospitalization by court order to an intensive care due to bed unviability. Method: analytical exploratory qualitative research. Data were obtained through interviews with 42 nurses, selected via snowball sampling, between January and December 2016. The interviews were analyzed using elements of the Discursive Textual Analysis. Results: two categories emerged: 1) Between obedience to the law and the ethical-moral duty of the intensive care nurse; 2) The position of nurses in the practice of patient advocacy for patients requiring intensive care beds. Conclusions: intensive care nurses exercise sensitivity and moral duty of the care process when defending their patients by informing them of their rights, guiding, acting and talking to and on behalf of patients and their families, valuing care free of judgment and harm to the patient hospitalized by court order.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.127
GPT teacher head0.455
Teacher spread0.329 · 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