The incommensurability of nursing as a practice and the customer service model: an evolutionary threat to the discipline
Bibliographic record
Abstract
Corporate and commercial values are inducing some healthcare organizations to prescribe a customer service model that reframes the provision of nursing care. In this paper it is argued that such a model is incommensurable with nursing conceived as a moral practice and ultimately places nurses at risk. Based upon understanding from ongoing research on compassion fatigue, it is proposed that compassion fatigue as currently experienced by nurses may not arise predominantly from too great a demand for compassion, but rather from barriers to enacting compassionate care. These barriers are often systemic. The paradigm shift in which healthcare environments are viewed as marketplaces rather than moral communities has the potential to radically affect the evolution of nursing as a discipline.
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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 | 0.031 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.090 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".