ESTABLISHING NEPHROLOGY NURSING SPECIALIZATION IN JAPAN: A MATTER OF URGENCY
Bibliographic record
Abstract
This paper explores the current situation regarding the provision of renal services to patients with end-stage renal disease in Japan. The statistical data reveal that Japan is in a predicament regarding the current rate of incidence of end-stage renal disease in the population. The discussion highlights the fact that nephrology nursing practice is as yet not recognised as a speciality in its own right in Japan. Therefore Japanese nurses who work in the field of nephrology are still struggling to establish their own professional identity and to improve the professional level of their practice. This situation persists in Japan despite support from the literature, which confirms that appropriately qualified nephrology nurses are well equipped to provide specialised care. The recent decision by the Japanese Association of Nephrology Nurses is to establish the position of the specialised dialysis nurse, which does not cover the area of kidney transplantation and will start in 2004. It is expected that it will be an important challenge to improve professional skills and nephrology nursing status in Japan.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".