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Record W7006317170

The Use of American Precedents in Canadian Courts

2018· article· en· W7006317170 on OpenAlexaboutno aff

Bibliographic record

VenueMaine law review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSubpoenaPretextGovernment (linguistics)Work (physics)GloomLimiting
DOInot available

Abstract

fetched live from OpenAlex

In 1849, the Supreme Court of New Brunswick faced the issue of whether there was a public right to float logs on navigable streams. Not surprisingly, no general right was found in the English common law as large scale floating of lumber down rivers did not exist in England. “Yet in a young country like Canada, the right to float logs and timber was an economic necessity in many areas and some device had to be found to make the activity legal.” To find that legal device, the New Brunswick court turned to the United States, specifically to Maine, and adopted the principle of floatability from Wadsworth v. Smith . At a time when there was both necessity and shared circumstances, Canadian courts referred to Maine's experience for guidance. One hundred and thirty-five years later, in 1984, the New Brunswick Court of Queen's Bench faced the question of who had ownership of land that was restored after a dam on a river was removed. Again, experience in Maine was helpful. Bradley v. Rice indicated that the ownership rule applicable to normal rivers and streams also applied to artificial ponds created by expanding a stream by means of a dam, and the rule was applied in New Brunswick. One would think such examples of regional borrowing would have occurred frequently. This is particularly so because most of English Canada began with the influx of the Loyalists who were on the losing side of the American Revolution. United States statutes were freely adopted in the new colonies, and many of the early lawyers and judges had American training. Nonetheless, this sort of regional interchange seemed to fall to the forces, however artificial in the largest sense, that direct our legal attention along national rather than regional lines. Thus, for further evidence of trans-border interaction, we must turn to the national stage, the subject of this paper.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.837

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0390.016
Scholarly communication0.0150.006
Open science0.0030.005
Research integrity0.0080.012
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.035
GPT teacher head0.298
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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