L'Évaluation Du Manque À Gagner Du Demandeur Adulte: Comment Les Tribunaux Canadiens Assument-Ils Leur Rôle De Devin? (Evaluating the Plaintiff's Loss of Earnings: How Canadian Courts Assume the Role of Psychic)
Bibliographic record
Abstract
French Abstract: L'evaluation du manque a gagner d'une victime de prejudice corporel adulte demeure une des tâches les plus complexe et laborieuse actuellement conferee aux tribunaux de common law canadiens. Une telle victime a presentement droit a une compensation integrale pour l'ensemble des pertes pecuniaires qu'elle peut raisonnablement demontrer qui risquent de s'ensuivre du delit et dont le fardeau de la preuve lui incombe. L'indemnite allouee a la partie demanderesse represente donc la difference entre les avantages pecuniaires dont elle aurait raisonnablement joui, n'eut ete le prejudice, et ceux dont elle sera toujours en mesure de b6n6ficier dans son present etat d'incapacite. Neanmoins, des abattements proportionnels au risque que certaines eventualites se materialisent doivent toutefois etre pris en consideration. Ce document souligne a quel point l'evaluation du manque gagner d'une victime de prejudice corporel adulte est une veritable question de preuve. Les tribunaux canadiens ont effectivement la latitude d'accorder une compensation integrale au demandeur, peu importe si celui-ci fonde sa demande sur le salaire qu'il touchait avant le delit, sur sa capacite d'obtenir une autre forme de remuneration ou sur la reduction de sa faculte d'effectuer des activites economiques de valeur mesurable afin de quantifier ses pertes.English Abstract: Assessing the loss of income of a physically injured adult remains one of the most complex and painstaking tasks currently conferred upon Canadian common law courts. A victim of physical harm is now entitled to full compensation for all economic losses that may reasonably be shown to be a foreseeable result of the harm suffered, and the victim has the burden of proof. The indemnity awarded to an applicant will therefore represent the difference between the pecuniary benefits he or she would have reasonably enjoyed had the harm not occurred and those he or she may now enjoy due to his or her present disability. However it is necessary to take into consideration the probability that a certain risk will materialize in the future and to make proportional adjustments where warranted. This article explains how assessment of the loss of income of an injured adult is essentially a matter of evidence. Canadian courts indeed have the discretion to award an applicant full compensation, whether the claim proposes to quantify the losses based on the earnings secured before the injury, on the capacity to secure some other form of earnings or on the reduced capacity to pursue economic activities that will result in measurable earnings.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".