Bibliographic record
Abstract
Brain death is accepted in most countries as death. The rationales to explain why brain death is death are surprisingly problematic. The standard rationale that in brain death there has been loss of integrative unity of the organism has been shown to be false, and a better rationale has not been clearly articulated. Recent expert defences of the brain death concept are examined in this paper, and are suggested to be inadequate. I argue that, ironically, these defences demonstrate the lack of a defensible rationale for why brain death should be accepted as death itself. If brain death is death, a conceptual rationale for brain death being equivalent to death should be clarified, and this should be done urgently.
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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 | 0.044 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.049 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.014 | 0.023 |
| Insufficient payload (model declined to judge) | 0.004 | 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".