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Record W6889232181 · doi:10.25446/oxford.25924201

War in the Desert - part 2

2024· other· en· W6889232181 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBattleDesert (philosophy)AdversarySpanish Civil WarTurning pointPoint (geometry)

Abstract

fetched live from OpenAlex

The continuing story about my Dad - Frederick Goodin.Dad's fighting career was cut short just before the first Battle of El Alamein, when he was seriously wounded in an air attack on another Retna Box. He was driving an ambulance carrying several men suffering from "shell shock" (post traumatic stress disorder). The ambulance was parked in the very centre of the defensive box formation, with a large red cross painted on its roof, and also on its sides, to make it easily identifiable as an ambulance. My father's position, if attacked, was alongside the ambulance with his Bren gun. An enemy Stuka dive bomber peeled off from its incoming formation and dived directly for the ambulance. Dad lay on his back with his Bren gun pointing skywards. He could see his shells entering the oncoming aircraft, but to little apparent effect. He then saw an ominous black shape detach itself from the underside of the Stuka. Dad immediately started rolling as fast as he could away from the bomb's trajectory. It scored a direct hit on the ambulance, and Dad, who was still rolling for all he was worth, was hit in the back by flying shrapnel. At this point my father lost interest in what happened to the aircraft and what else was going on around him.Several days later Dad awoke in a hospital bed in Cairo. He had just missed the first Battle of Alamein. It took several months for him to fully recover, and when he did, he was made a senior sergeant instructor of field mechanics in battlefield environments for new regiments arriving in the Middle East and European war zones. This lasted for the remainder of the war.My Dad returned home in 1945 to a house that had received blast damage from the bombing and the death of his son due to meningitis.And where do I fit into this story? I was born early in 1944, the result of a relationship between an English lady and a Canadian soldier, who went ashore on Juno Beach, on D-Day, but was later killed near Caen during the Normandy campaign. I was eventually put into an orphanage and later adopted by Kitty and Frederick Goodin, in 1949, to fill the gap left by my adoptive parents' late son, Kenneth.

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)0.001
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 score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0140.003
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0260.007

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 head0.071
GPT teacher head0.355
Teacher spread0.284 · 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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