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Record W4281876933 · doi:10.1097/cnj.0000000000000966

Bridging the Racial Divide

2022· article· en· W4281876933 on OpenAlexaff
Tajuane H. Dockery

Bibliographic record

VenueJournal of Christian Nursing · 2022
Typearticle
Languageen
FieldNursing
TopicNursing Education, Practice, and Leadership
Canadian institutionsResearch Canada
Fundersnot available
KeywordsUnrestBridging (networking)Face (sociological concept)Bridge (graph theory)SociologyFoundation (evidence)Ethical codeHealth careRace (biology)Code of conductNursingPolitical sciencePublic relationsLawGender studiesMedicineSocial sciencePolitics

Abstract

fetched live from OpenAlex

ABSTRACT: Recent civil unrest has proven that positive role models are essential to help bridge the nation's racial divide. Nurses are primed to be among these role models as trusted and respected healthcare professionals. Nursing's code of ethics defines nurses' moral obligations to respect all people and advocate for justice. Christian nurses face a higher calling: to love one's neighbors as themselves. This article explores the application of a Christian worldview of Fawcett's metaparadigm of nursing as a foundation for nurses to extend the love of Christ and promote racial healing.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.417
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.318
Teacher spread0.293 · 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 designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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