The Scope Of The Possible: Canadian Courts, Emotion, And The Assertion Of Crown Sovereignty
Bibliographic record
Abstract
This thesis considers emotion and the role emotion plays in judicial reasoning in three Aboriginal title decisions. The aim of this analysis is to draw to the surface emotional undercurrents and commitments that, together with other currents, impact the direction of judicial reasoning in these cases. Using methodologies and approaches from the area of law and emotion, this thesis employs close readings of the three Aboriginal title decisions to draw out lacunae in the Supreme Court of Canada’s reasoning. These lacunae reflect fixed assumptions that the Court chooses not to interrogate, such as the Crown’s acquisition of radical title to all land in Canada, and other postures and commitments that impact the Court’s reasoning. The emotions analysis posits that these lacunae give us information about where resistance, aversion, fear, and other emotions arise to reinforce certain narratives and modes of thinking and to prevent engagement with challenging questions.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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".