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Record W6980418063

Cartwright, John S. (1804-1845)

2014· article· en· W6980418063 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatureSisterSupreme courtEconomic JusticeSeriousnessJurisprudence
DOInot available

Abstract

fetched live from OpenAlex

Engraved armorial. 10.6 x 6.7 cm. Gagnon I, 4796 who gives J. R. Cartwright; Harrod & Ayearst, p. 43, who assign his death date to 1860; Masson Collection Vol. III, #439. \nJohn Solomon Cartwright was born in Kingston, Upper Canada, the son of Richard Cartwright and Magdalen Secord (the sister of Laura Secord). He studied law in York, UC (now Toronto) in the law office of John Beverley Robinson (whose bookplate is shown above) and was called to the Bar in 1825. He went to London to pursue further legal studies at Lincoln’s Inn, but by the autumn of 1830 had returned to Kingston, where he resumed his law practice. His seriousness about his profession is shown by the large sum he was spending on legal books. In England he had probably laid out £250 for a “law library”. In 1834 he was appointed a judge of the Midland District Court; he was elected a bencher of the Law Society of Upper Canada in 1835 and in 1838 he was made a QC. He became the first president of the Commercial Bank of Kingston in 1831. He was elected to the Legislative Assembly of Upper Canada in 1836 and to the Legislative Assembly of United Canada in 1841. He opposed the Union of 1840 and turned down the solicitor-generalship from Sir Charles Bagot in 1842. He died at Kingston. His great-grandson, John Robert Cartwright (1895-1979), a graduate of Osgoode Hall Law School, was Chief Justice of the Supreme Court of Canada, 1967-1970.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.016
GPT teacher head0.294
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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