Bibliographic record
Abstract
Formålet med oppgaven er avsluttende eksamen i Sykepleie. Vi har et selvvalgt tema \nsom er gravide i metadonbehandling. Hensikten med oppgaven er å belyse teorien rundt \nmetadonbehandlingen og dets hensikt, - samt å belyse hvilken innvirkning dette har på \nden gravide og fosteret. Oppgaven inneholder en innsamling av aktuell teori på området, \nog problemstillingen vi har jobbet ut fra er; gir vi metadon for å beskytte det ufødte \nbarnet, og er det en forsvarlig behandling. \nUt fra et sykepleieperspektiv spør vi hvilke etiske utfordringer sykepleieren har i møte \nmed gravide i metadonbehandling. \nVi har kommet frem til at det er både positive og negative sider med å gi metadon til \ngravide. Det byr på en rekke etiske utfordringer for sykepleieren og kan også utfordre \noss som privatpersoner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.008 | 0.008 |
| Meta-epidemiology (broad) | 0.008 | 0.004 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.128 | 0.466 |
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; both teacher heads agree on what is shown here.
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".