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Record W7043656079

St. George’s Lodge A.F. & A.M. No. 15 fonds, 1846-1985

2023· other· en· W7043656079 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSisterGeorge (robot)BrotherHaven
DOInot available

Abstract

fetched live from OpenAlex

St. George’s Lodge was founded around 1814 in what is now St. Catharines, but at the time was known as the Twelve or Shipman’s Corner. In 1855, when the Grand Lodge of Canada in the Province of Ontario was formed, St. George’s Lodge was assigned the number 15, which it retains to this day. A lack of interest in Masonry from 1826 to 1845 caused operations to close temporarily. The lodge resumed activities in 1846, shortly after the Third Provincial Grand Lodge was formed. Many of the founders of the lodge were officers in Butler’s Rangers who subsequently settled in Niagara. Many prominent community leaders and businessmen were active in Freemasonry. Some early and well-known members of St. George’s Lodge include Samuel Zimmerman, Dr. Theophilus Mack, W.H. Merritt (grandson of William Hamilton Merritt), Lucius Oille (mayor of St. Catharines in 1858) and William Bartlett Burgoyne (founder of the St. Catharines Standard). \n \n\tSome of the early meeting places of the Lodge included Samuel Dobson’s Tavern on Queenston Street and Mittleberger Block. In 1954, the Lodge moved to its present location on Centre Street, along with several other lodges and bodies known as the Masonic Memorial Temple Association. The Lodge has also been involved in the establishment of sister lodges including Maple Leaf Masonic Lodge No. 103 in 1858 and Temple Lodge No. 296 in 1873. The Lodge remains active and supports several local charities financially and through volunteer work, as well as organizing social events for its members.

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)0.000
metaresearch head score (Gemma)0.001
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: Dataset · Consensus signal: none
Teacher disagreement score0.467
Threshold uncertainty score0.929

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1310.025

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 head0.193
Teacher spread0.181 · 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
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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