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Record W3014180545 · doi:10.1590/1983-80422020281370

Investigating moral distress over a shortage of organs for transplantation

2020· article· en· W3014180545 on OpenAlex
João Paulo Victorino, Donna M. Wilson

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRevista Bioética · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEconomic shortageTransplantationPsychologyDistressTest (biology)Categorical variableAnalysis of varianceSocial psychologyClinical psychologyMedicineInternal medicineStatisticsMathematics

Abstract

fetched live from OpenAlex

Abstract We verified moral distress related to organ shortage for transplantation in nursing students. This quantitative pilot study analyzed data from 104 nursing undergraduate students. Data were collected through a survey composed of four questions and two sociodemographic items. The chi-squared test was used to examine categorical variables, whereas continuous variable data were analyzed using ANOVA and the Pearson Product Moment correlational test for determining the existence of moral distress regarding the availability of one heart for four individuals susceptible to heart transplantation. A high level of moral distress was identified with regard to the hypothetical decision-making process, which justifies the need for further studies on the subject. Given the hypothetical scenario, moral distress was observed among the students, reaching severe distress in some cases. Approval CEP-University of Alberta Pro00068610

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.158
GPT teacher head0.480
Teacher spread0.322 · 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