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Record W2131189438 · doi:10.1177/0969733013486799

Responding to discriminatory requests for a different healthcare provider

2013· article· en· W2131189438 on OpenAlexaffabout
Kyle W. Anstey, Linda Wright

Bibliographic record

VenueNursing Ethics · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsHealth careAutonomyHarmContext (archaeology)EmpowermentDutyNursingHonorGuidelinePsychologyInternet privacyBusinessMedicineSocial psychologyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Patient requests for a healthcare provider of a particular race or sexual orientation create a conflict of obligations. On the one hand, providers have a duty to deliver clinically indicated care consistent with patient preferences. On the other hand, providers have legal, professional, and organizational assurances that they should not suffer workplace discrimination. Protecting healthcare providers from harm while maintaining obligations to patients requires unambiguous messaging to both parties. Providers need to be clear that their organization will not be complicit in discrimination against them, instead supporting their needs and preferences for management of the situation. In a context of patient-centered care, harm principle-based boundaries of respect for autonomy must be defined. A Caregiver preference guideline developed and used at University Health Network, Toronto provides a standardized way for the organization to decide when it will honor patient requests for providers of a particular background. This process stresses dialogue, assessment of clinical feasibility, and empowerment and support for affected care providers.

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)0.008
metaresearch head score (Gemma)0.059
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.843
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.059
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.011
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 head0.373
GPT teacher head0.602
Teacher spread0.229 · 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 designTheoretical or conceptual
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

Citations18
Published2013
Admission routes2
Has abstractyes

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