«Und das Leid tragen auch noch die nächsten Generationen» – Eine internationale Literaturstudie zur Pflege jüdischer PatientInnen
Bibliographic record
Abstract
Jewish refugees from the Commonwealth of Independent States (CIS) are a constantly growing minority about whose care needs little is known in the scientific literature. Considerably more research has been done on the care needs of members of the Jewish faith outside the CIS, especially of those living in the USA, Israel and Canada. The ensuing international literature study was compiled as part of a pilot project promoted by the Robert Bosch Stiftung concerning the care needs of Jewish refugees from the CIS, with the aim of investigating available nursing experiences with the target group. The keywords "Juden", '"jüdisch", "Migranten", "jew", , "jewish" "migrants" and "nursing" were used for the analysis of altogether 67 articles from various data sources. The literature study generated the following internationally significant topics: the psychological and social situation and the resulting special features of the nursing care required by all of them viz: two generations of holocaust-survivors, their children, and Jewish migrants from the CIS; various religious orientations subdivided roughly into the categories orthodox, conservative and reform, in that each category represents different attitudes which affect nursing care; aspects of Jewish ethics relevant to nursing; the specifics of caring for gerontological Jewish patients; and socio-cultural aspects of palliative care. One of the most important results was that Jewish refugees from the CIS share in particular the experience of persecution with the holocaust-survivors and their offspring, which bears specific implications for nursing care.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.021 | 0.023 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".