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Record W2143033467 · doi:10.1186/cc3510

Bench-to-bedside review: humanism in pediatric critical care medicine - a leadership challenge.

2005· review· en· W2143033467 on OpenAlexaff
Niranjan Kissoon

Bibliographic record

VenueCritical Care · 2005
Typereview
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanismMedicineCritically illBench to bedsideIntensive care unitEngineering ethicsNursingIntensive care medicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

A humanistic approach to leadership is especially important in the case of children in the technology-rich intensive care unit (ICU) environment. Leaders should create a humanistic milieu in which the needs of critically ill children, their families and staff are never overlooked. Humanistic leaders are tactful, accessible, approachable and versatile, and have a sense of humour. Humanness in the ICU environment has many faces and poses a challenge to many in leadership positions. Humanistic leaders treat others as they hope they will become. They are constantly questioning themselves, seeking awareness of themselves and others, but most importantly they are constantly learning and evolving. Ultimately, humanistic leadership creates an ICU culture that supports all, is conducive to enriching lives, and is sensitive to the needs of patients and their families.

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)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.873
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0010.001

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 head0.346
GPT teacher head0.532
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2005
Admission routes1
Has abstractyes

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