«Und plötzlich habe ich einen Tumor» – Die Situation von Frau S. und ihrer Familie
Bibliographic record
Abstract
BACKGROUND: Many families affected by a terminal illness need professional help and support. In order to be able to cope with emotional stress, loss of light-heartedness and changes in family structure thorough information is important for patients and their families. The Calgary Family-Assessment and Calgary Family Intervention-Model are suitable to determine the needs of concerned families and hence to offer appropriate interventions. PURPOSE: In an instrumental case study the situation of Mrs. S.2 and her family was analyzed. Mrs. S. is suffering from an inoperable adenocarcinoma. METHOD: An assessment classified the different information given during the first meeting and determined the focus of the interventions. RESULTS: Interventions concentrated on cognitive and emotional support. CONCLUSIONS: The case study showed how family models for nurses could systematically guide professionals in supporting families. Listening and spending time with the concerned person and their families showed to offer important factors, which were perceived as very helpful by the families.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".