Widening the Ethical Lens in Critical Care Settings
Bibliographic record
Abstract
Ethics in Critical Care| June 15 2020 Widening the Ethical Lens in Critical Care Settings CE Article Elaine C. Meyer, PhD, RN; Elaine C. Meyer, PhD, RN Elaine C. Meyer is Faculty Associate, Center for Bioethics, and Associate Professor of Psychology, Harvard Medical School, 641 Huntington Ave, Boston, MA 02115 (elainecmeyer@gmail.com). Search for other works by this author on: This Site PubMed Google Scholar Franco A. Carnevale, PhD (Psych), PhD (Phil), RN; Franco A. Carnevale, PhD (Psych), PhD (Phil), RN Franco A. Carnevale is Full Professor, Ingram School of Nursing; Associate Member, Faculty of Medicine (Pediatrics); Adjunct Professor, Counselling Psychology; and Affiliate Member, Biomedical Ethics Unit, McGill University, Montreal, Canada. Search for other works by this author on: This Site PubMed Google Scholar Craig Lillehei, MD; Craig Lillehei, MD Craig Lillehei is Chair of Surgical Education, Boston Children's Hospital, Boston, Massachusetts. Search for other works by this author on: This Site PubMed Google Scholar Melissa Kurtz Uveges, PhD, MA, RN Melissa Kurtz Uveges, PhD, MA, RN Department Editor Melissa Kurtz Uveges is Postdoctoral Research Fellow, Center for Bioethics, Harvard Medical School, Boston, Massachusetts. Search for other works by this author on: This Site PubMed Google Scholar AACN Adv Crit Care (2020) 31 (2): 210–220. https://doi.org/10.4037/aacnacc2020265 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Twitter LinkedIn Tools Icon Tools Cite Icon Cite Get Permissions Citation Elaine C. Meyer, Franco A. Carnevale, Craig Lillehei, Melissa Kurtz Uveges; Widening the Ethical Lens in Critical Care Settings. AACN Adv Crit Care 15 June 2020; 31 (2): 210–220. doi: https://doi.org/10.4037/aacnacc2020265 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAACN Advanced Critical Care Search Advanced Search Sophia is a 5-month-old infant who was prenatally diagnosed with asphyxiating thoracic dystrophy, or Jeune syndrome, a rare autosomal recessive genetic disorder affecting bone growth. Those with Jeune syndrome have very small chests that restrict lung growth and respiratory function, "short ribs, shortened bones in the arms and legs, short stature," and polydactyly.1 The long-term prognosis varies widely for infants diagnosed with Jeune syndrome; some survive into adolescence or adulthood, but many succumb to pulmonary insufficiency or infections during the first 2 years of life. After infancy, children with Jeune syndrome may develop renal insufficiency. Less common features include heart defects, liver disease, pancreatic cysts, and retinal dystrophy. Sophia was born via planned caesarian delivery at 38 weeks' gestation; her mother's pregnancy had been carefully monitored. At 3 weeks of age, Sophia developed increasing difficulty with breastfeeding, experiencing cyanosis and severe respiratory... ©2020 American Association of Critical-Care Nurses2020 You do not currently have access to this content.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.126 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.009 | 0.029 |
| Scholarly communication | 0.026 | 0.029 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.017 | 0.021 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".