The RAD Synthesis: Taxonomy and Decolonial Ethic of Emerging Digital Technologies for Nursing Informatics
Bibliographic record
Abstract
This paper is a response to Arries' call for exploration of a universal nursing ethics in the context of a pluralistic world, specifically consideration of an African ethics for nursing holding Ubuntu as a community-centred humanistic ideal with the "…ability to complement, extend and synthesize other ethical frameworks in nursing practice" [1]. Our discourse synthesizes the Arries-Davies taxonomy of ethical challenges of emerging digital technologies (EDTs) in healthcare [2] with sequential applications of Kwete et al.'s [3] colonial remnants framework and of Ubuntu [1][3][4][5]. This sequential synthesis of cognitive tools for identification, classification, and analysis of EDT ethical issues through a decolonial lens is dubbed the Rose-Arries-Davies (RAD) Synthesis. Key concepts explored include description of the Arries-Davies Taxonomy, introduction to the concept of colonial remnants, an introduction to Ubuntu, and demonstration of the RAD Synthesis to engage in decolonial critiques of global health informatics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".