The Hypothetical Imperative as an Indicator of Irrational Will: The Case of the 2018 Toronto Van Attack
Bibliographic record
Abstract
The categorical imperative inherent in Kant’s ethics has had indubitable historical influence on societies worldwide whether in the form of laws, democracy or public deliberation. The Toronto Van Attack of 2018 and its subsequent legal trial is a case example that shows how the categorical imperative can be applied to assist in understanding the reasoning for the case’s guilty verdict. This paper will convey the applicability of the categorical imperative for examining criminal case studies by closing the gap between ethical theory and practice. Such closure will be shown to assist in understanding why a perpetrator of a crime can be found guilty of following a hypothetical imperative to base their actions. The rationale for the verdict in this case will be shown to be based on the perpetrator’s responsibility in the form of maintaining autonomy despite having an autism diagnosis. The perpetrator will be shown to have acted on an irrational will and yet was treated in the legal sense as a rational individual. Such rationality was maintained despite complications with their autonomy in the form of relativism and ethical solipsism.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".