Repositioning the corporate criminal: comparing and contrasting corporate criminal liability in Canada and Finland
Bibliographic record
Abstract
Over the past two decades, a number of states in the Global North have introduced laws aimed at holding corporations criminally liable. While there is an important literature examining these legal regimes there is a paucity of comparative work interrogating the different political struggles and processes leading to corporate criminal liability (CCL) legislation. This paper addresses this lacuna by comparing and contrasting the development of CCL in Canada and Finland. By scrutinizing the law reform processes in each jurisdiction, the paper documents how CCL emerged under different conjunctures in each country, yet were shaped similarly by hegemonic beliefs in the non-criminal status of corporation, the importance of advancing private enterprise and established jurisprudence. Of particular note are the ways in which dominant notions of legal individualism and the universal legal subject constrained legislative efforts to hold corporations criminally to account therein preventing corporate misconduct from being processed as “real” crimes.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".