MétaCan
Menu
Back to cohort

Working With Patients Living With Obesity in the Intensive Care Unit

2015· article· en· W16763780 on OpenAlexaff
Jacqueline Shea, Marilou Gagnon

Bibliographic record

VenueAdvances in Nursing Science · 2015
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsIntensive care unitMedicineObesityMEDLINEGerontologyNursingIntensive care medicineInternal medicinePolitical science

Abstract

fetched live from OpenAlex

Increasing numbers of patients living with obesity (PLWO) are admitted to the intensive care unit (ICU). The goal of this qualitative study was to examine the experiences of ICU nurses who work with PLWO using the Othering framework developed by Canales in 2010. The first theme describes how PLWO become "Others" in the ICU. The second theme focuses on exclusionary Othering and how it manifests itself in the way PLWO are cared for and viewed. The third theme sheds light on inclusionary Othering in the form of strategies that are used by nurses to engage with PLWO. The last theme takes a closer look at the ICU environment and how resources impact the experiences of nurses working with PLWO.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
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 head0.082
GPT teacher head0.465
Teacher spread0.383 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations48
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in Nursing ScienceSame topicObesity and Health PracticesFrench-language works237,207