Bibliographic record
Abstract
abstract In his ‘Suicide Intervention and Non‐Ideal Kantian Theory’ (2002), Michael J. Cholbi argues that nihilism and hopelessness are often motivating factors behind suicide, contrary to Immanuel Kant's prescribed motive of self‐love. In light of this, Cholbi argues that certain paternalistic modes of intervention may not only be effective in preventing suicide, but are ultimately consistent with Kantian morality. This paper addresses certain perceived shortcomings in Cholbi's account of Kantian suicide intervention. Once the psychological complexities of the suicidal person are brought to bear, the suicidal person is found in many cases to be irrational at the time of her death. Because of this, rationalistic intervention strategies may prove ineffective, despite their being consistent with Kantian morality, and despite instances of suicide being non‐ideal circumstances. Cholbi assumes throughout his article that suicidal human beings remain Kantian moral agents. However, because rationality represents a crucial criterion for Kantian moral agency, and because certain human beings who commit suicide are not rational, such human beings are not Kantian moral agents. Because Cholbi's intervention strategies are not applicable to (or effective towards) irrational suicidal people, his account is found incomplete.
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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 | 0.022 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.030 | 0.034 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".