MétaCan
Menu
Back to cohort
Record W6936560278 · doi:10.58066/sa1c-0g70

Theodore Monk - military parade photograph

2023· other· en· W6936560278 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArtilleryCadetOfficerParadeInfantryEstateFlag (linear algebra)

Abstract

fetched live from OpenAlex

A photograph of soldiers marching by a group of army officers during a military parade. A church, possibly St. John the Divine Anglican Church, is visible in the background. Biography: Lieutenant Colonel Theodore Benning Monk was born in Winnipeg, Manitoba. In 1907, he enlisted with the active militia and in 1908 became a gunner with the 13th Battery, Canadian Field Artillery (Manitoba Regiment). He later went into law and real estate. He moved to Victoria in 1908 and started work in the City Engineer's Department. He established his own real estate firm with Roger Monteith, and among other real estate activities sought to develop the coastal town of Clo-ose, B.C. as a resort. In World War I he served with the 54th Battalion and fought in Vimy Ridge. He was Commanding Officer of the Gordon Head Cadet Training Camp at the present campus of the University of Victoria, 1940-1941, and became a liaison officer of the U.S. Army from 1942-1944. From 1930 on, Monk campaigned actively for a uniquely Canadian flag and submitted numerous designs to the competition for a new flag in 1968.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.537
Threshold uncertainty score0.660

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.5370.224

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 head0.028
GPT teacher head0.274
Teacher spread0.246 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueUVic’s Research and Learning Repository (University of Victoria)French-language works237,207