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Record W4366724268 · doi:10.17533/udea.iee.2826

THE WORLD OF THE NURSE: “HERE WE NEVER REST”. CARE CONTEXT

2009· article· en· W4366724268 on OpenAlexaff
Gladys Guarín Berrío, María Consuelo Castrillón Agudelo

Bibliographic record

VenueInvestigación y Educación en Enfermería · 2009
Typearticle
Languageen
FieldHealth Professions
TopicNursing care and research
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsHumanityContext (archaeology)Rest (music)NursingEthnographyNursing careValue (mathematics)Informed consentPsychologyHealth careService (business)Qualitative researchMedicineSociologyAlternative medicineComputer scienceHistoryPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex


 Objective: to understand the context, goals and meanings that nurses give to their care roles.
 Methodology: qualitative investigation whose methodological approach was focused ethnography in nursing care to surgical patients in high complexity health institutes in Medellín, Colombia. The study is performed between 2005 and 2007. The data collection is done by means of participant observations and in-depth interviews to nurses. We carry out a total of 11 nurses’ interviews and observations of shifts changes, nursing rounds, medical rounds and patients discharge. We use an informed consent form that each interviewee signed. In open coded analysis we meticulously examin and compare searching, differences and similarities. 
 Results: the findings make clear that nurses consider patient first of all as human beings and they believe that humanity is an essential component for those who you look after and is a value for those who provide care. Attention to every detail makes part of the nurse’s world in their care actions. They are responsible for everything in the service and it implies “having to have four eyes”. 
 Conclusion: the nurses’ world, in the studied services, is characterized as a complex context that demands to be permanently attentive to multiple and simultaneous situations. In their own words is defined as “Here we never rest”.

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.

How this classification was reachedexpand

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.999

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.046
GPT teacher head0.434
Teacher spread0.388 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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