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Record W7098859085

Speaker of the Legislative Assembly

2000· article· en· W7098859085 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemistry
TopicChemical synthesis and alkaloids
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatureParliamentGovernorLegislative assemblyLower houseHouse of RepresentativesResidenceGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

provincial historic site was unveiled. Over the past 200 years, the Members of the New Brunswick Legisalture have met in a variety of locations. It was in the City of Saint John‘s Mallard House Tavern on January 3, 1786, that the first Legislature met. Governor Thomas Carleton insisted that Fredericton should become the capital, primarily, because Fredericton was less vulnerable to attack from the United States. In Fredericton, the Legislature met in the Mansion House, the official residence of the Governor, located on the site of Old Government House on the Woodstock Road, and later in the British American Coffee House on Queen Street (demolished in 1961 to make way for the Playhouse) while a commission designed a suitable building to house both the Legislature and the courts of justice. By the early 1800s, the Assembly was meeting in a new building known as Province Hall which sat on the site of the present day Legislative Building. A wooden structure, it consisted of a main portion and two wings for the Assembly, Council and the Supreme Court, an east wing for judges and the Law Library and a west wing of committee rooms and the Clerk‘s Office. Described as a ―commodious plain wooden structure, ‖ there were increased requests for a larger, more elegant parliament building and in the late 1870s the government held a competition for the design of a new Legislative Building. Coincidentally, two weeks after the design was chosen in 1880, Province Hall caught fire and was destroyed. The stone buildings on either side of Province Hall were not destroyed and the one on the left, known as the Old Education Building, now houses a second story and has been home to the Official Opposition for several decades.

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)0.002
metaresearch head score (Gemma)0.006
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.214
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.001
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.2140.104

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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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