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Record W6889184766 · doi:10.25446/oxford.25923241

South Saskatchewan Regiment and Liberation of Netherlands

2024· other· en· W6889184766 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBattleHonourGovernment (linguistics)EmigrationVanguardQuarter (Canadian coin)Summit

Abstract

fetched live from OpenAlex

Walter Stevens was born in November of 1907 in Kent. His father served with the Naval Reserve and was killed in the explosion of the Vanguard in July of 1917. Walter was sent to St. Vincent's Industrial School in Kent and in 1923 sent to Canada through the British Home Child Program as it is now known. Walter along with 51 other children sent to Canada by the Catholic Emigration Society. Walter spent three years in indentured servitude to a French Canadian family in Quebec before making his way west and settling in Saskatchewan. As he was fluent in French from his time spent with the French Canadian family, he settled in the area near Gravelbourg Saskatchewan in a town named Coderre. He married in 1937, and, in 1940, joined the South Saskatchewan Regiment in Weyburn and fought in Dieppe and in liberation of Belgium and Netherlands. He was seriously wounded in battle in October of 1944 and returned home to Canada in January of 1945. Due to the severity of his injuries, he was told he would likely never walk again but he did. However, he was denied the opportunity to apply for a farm of his own by the Canadian government as they believed he would be physically disabled and would not be able to manage a farm. He died at the age of 70 in 1977 and is buried in the Field of Honour Riverside Memorial Gardens in Regina, Saskatchewan.

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: Other · Consensus signal: Other
Teacher disagreement score0.139
Threshold uncertainty score0.467

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1390.010

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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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
Published2024
Admission routes1
Has abstractyes

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