4 themes described the experiences of patients before, during, and immediately after awake craniotomyCommentary
Bibliographic record
Abstract
A Palese Prof A Palese, Udine University, Udine, Italy; alvisa.palese@uniud.it How do patients describe their experiences before, during, and immediately after awake craniotomy? Qualitative study using a phenomenological approach. Neurosurgical unit in a hospital in Udine, Italy. Purposeful sample of 21 patients >18 years of age (age range 20–63 y, 52% women) who had a brain neoplasm, no language or cognitive disabilities, and were to have surgery under local anaesthesia. Patients participated in 2 individual interviews (1 on the day before and 1 on the day after surgery), each lasting 30–60 minutes. Interviews were audiotaped and transcribed. Data were analysed thematically. 4 themes described patients’ experiences of awake craniotomy. (1) Patients focused on self-preservation before surgery. They felt that having surgery under local anaesthesia was almost non-negotiable because they believed it would reduce collateral damage and prevent disabilities. However, they also felt they had an active role in decisions: “It is my role during the operation to help the neurosurgeon understand where it is dangerous to touch and where he should be operating.” Most patients were more afraid of …
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".