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Record W6945283693 · doi:10.25446/oxford.24756252

69578: George Palmer

2023· other· en· W6945283693 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Oxford · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBattleGeorge (robot)Front (military)EphemeraSpanish Civil WarGunpowder

Abstract

fetched live from OpenAlex

Gunner George Palmer (10227, B Battery Royal Field Artillery, 78th Brigade, part of the 17th Division of the British Army) enlisted in Oxford on 1 September 1914. He was born in Wiltshire where his father was a gardener at Zeals House but enlisted in Oxford because he was working as a gardener there. Like so many others, he enlisted on 1 September 1914. After training, he was first posted to the front on 12 July 1915. He was first involved around the Ypres Salient in 1915, and later the Battle of the Somme, including the battle of Albert and the battle of Delville Wood. In 1917 he was involved in the Arras offensive, including the two battles of the Scarpe and the two battles at Passchendaele. He was victim of a gas attack at Passchendaele during the second battle on 6 November 1917. He returned to Britain on 19 November 1917 and married Florence Alberta Morgan on 23 August 1918. She kept many of his postcards home as well as other ephemera from the war, such as silk postcards and a silk handkerchief holder - the kind of thing many soldiers brought home for their sweethearts. He later joined the London and Tyne Electrical Engineers (serial number 366126) before he was transferred to Army Reserve on 14 May 1919. He was my grandfather and died in 1958. His son, Mostyn, was later a soldier in the 89 Light Aircraft Regiment in World War II, including Operation Overlord and the Normandy landings. This story and additional photographs can also be found in the Europeana 1914-1918 collection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.012

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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

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

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