Uprooting the cell-plant : Canadian and U.S. constitutional approaches to surreptitious interrogations in the jailhouseprison context
Bibliographic record
Abstract
This thesis examines judicial approaches to cell-plant interrogations in Canada and the United States. These are surreptitious interrogations whereby the police inject an undercover state agent into the detention environment with the object of eliciting inculpatory statements from an accused. This thesis examines and compares the strengths and weaknesses of Canadian and United States judicial approaches to cell-plant interrogations, and their respective applications of section 7 of the Canadian Charter of Rights and Freedoms and the Sixth Amendment of the U.S. Bill of Rights. In both countries, an accused can seek to have their incriminating statements excluded from evidence where they persuade the court that such statements were elicited by a state agent. Despite the seemingly similar language of their legal tests, Canadian and U.S. jurists define state agency and elicitation in very different ways leading potentially to very dissimilar outcomes based on the same factual circumstances.
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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 | 0.018 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.048 | 0.049 |
| Scholarly communication | 0.029 | 0.007 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".