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Record W1975901435 · doi:10.1191/1743872106lw039oa

The Mild, Mild West: Living by a Code in Canadian Law and Film

2006· article· en· W1975901435 on OpenAlexaffabout
E. Morgan

Bibliographic record

VenueLaw Culture and the Humanities · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDissentLawFrontierJurisdictionState (computer science)MythologyIndividualismCode (set theory)Legal historyCONQUESTPolitical scienceCriminal jurisdictionSociologyHistory

Abstract

fetched live from OpenAlex

Canadians live by the rules. If the overriding myth of American history is that of rugged individualism and the conquest of the frontier, the story told of Canada is one of socialized, orderly engagement with and development of the north. This article probes the national image as it appears in the popular and the legal realms. The vehicles for this exploration are Canadian constitutional law and Canadian film. A species of case law–that dealing with the division of powers and, more specifically, with federal criminal jurisdiction–will be juxtaposed with a species of movie–the Canadian NorthWestern and, more specifically, The Grey Fox (1982). The imagery and national aspirations expressed in one medium help illuminate the equivalent motifs in the other. It turns out that if Canadians live by anything it is a code of continuous dissent, since the constitutional rules that govern national life are in an evolving state of debate.

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)0.001
metaresearch head score (Gemma)0.005
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: Empirical · Consensus signal: none
Teacher disagreement score0.086
Threshold uncertainty score0.625

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0360.030
Scholarly communication0.0130.004
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.012
GPT teacher head0.227
Teacher spread0.215 · 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
GenreEmpirical

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

Citations0
Published2006
Admission routes2
Has abstractyes

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