MétaCan
Menu
Back to cohort
Record W2082759648 · doi:10.1017/s0738248011000605

“Too Many Courts and Too Much Law”: The Politics of Judicial Reform in Nova Scotia, 1830–1841

2012· article· en· W2082759648 on OpenAlexaboutno aff
Jim Phillips, Bradley W. Miller

Bibliographic record

VenueLaw and History Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsLawPoliticsPolitical scienceSupreme courtNova scotiaEliteGovernorReform ActSociology

Abstract

fetched live from OpenAlex

The 1830s was Nova Scotia's “Age of Reform.” Although historians have documented the growing tensions between elected Assembly and appointed lieutenant governor and Council, the concomitant attacks on the established economic elite, and the rise of a distinct party in colonial politics, little attention has been paid to the role played by the colony's courts and judges in this crucial decade. This lacuna is surprising, because reformers were convinced that the judges of the Nova Scotia Supreme Court (NSSC) were bulwarks of the old order and barriers to progress, and as their movement gained influence in the 1830s it brought the judges and the court system to the fore. This period saw numerous proposals for reform to the colony's laws and legal system, some effected and others not. Here we examine those aspects of the reform platform that were most hotly contested precisely because they exemplified the ways in which controversies about the legal system both reflected and exacerbated broader political and social change. The most important issues were judicial fees and the role of the chief justice as head of the Tory-dominated lieutenant governor's Council. We also examine two other matters in which the judicial system was directly linked to reformers' general demands for a system of government more responsive to the needs of ordinary Nova Scotians: judicial salaries and the role of the lower civil courts.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.575

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.267
Teacher spread0.234 · 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 teacher head, not a consensus.

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

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

Citations2
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLaw and History ReviewSame topicCanadian Identity and HistoryFrench-language works237,207