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Record W6917998917 · doi:10.58066/66ez-gy51

Paul, Sam: my wartime experiences (February 1, 2007)

2007· other· en· W6917998917 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2007
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInfantryJudaismMarketing buzzWorld War IIClubClothing

Abstract

fetched live from OpenAlex

ABSTRACT: Sam Paul Sam was 21 when he felt it was time to join the war effort. He was accepted into the Canadian Infantry in 1943 in Montreal. Basic training was done at Farnham, Quebec. Sent to England to the Reception and Dispatch Records Office, he spent 2 years in Aldershot and Barnsley working as a clerk. Buzz bombs over England remain as Sam's worst memories of that time. Sam joined the Balfour Services Club in London and he observed the Jewish holidays with families in London. He still remembers the warmth with which he was welcomed by the London Jewish community. Sam was demobilized in 1946. He returned to Montreal and went into the retail clothing business. He says 'The Army is a good place to be. It builds character and is a terrific life learning experience'. Sam is retired in Nanaimo. At the Balfour Club, there were many local Jewish families that hosted Jewish soldiers for Sabbath dinners and holidays. Sam and his friend were assigned to a host family in London. When they arrived at their destination, it looked like it had been bombed out, with boards covering the windows. The address was on the second floor above a store. Sam and his buddy weren't sure they should enter the building, but it was late and dark so they entered, and it was the smartest thing they did. When they rang the bell and entered they found themselves standing on plush carpeting in a 'wealthy' home. The hosts, the Grodskys, welcomed them warmly. The meal was absolutely delicious. As it turned out, the Grodskys owned the bakery downstairs and were able to trade sugar and oil for foodstuffs they needed. Sam spent one weekend a month with this family, even helping them deliver bread, until he was posted to the Midlands. After the war Sam kept in touch with them for some years.

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)0.001
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.043
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0190.002
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0430.015

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 head0.285
Teacher spread0.257 · 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
Published2007
Admission routes1
Has abstractyes

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