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Record W7060733704

Oral History Interview with Hetty Walker, September 15, 2007

2007· article· en· W7060733704 on OpenAlexaboutno aff

Bibliographic record

VenueThe Portal to Texas History (University of North Texas) · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsOral historyClothingGermanWorld War IINational guardPublic historySpanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

The National Museum of the Pacific War presents an oral interview with Hetty Walker. Walker was born in Holland in 1935. Her family took shelter from air raids by hiding under their kitchen table, the children wearing pots on their heads. During severe bombing, they spent an entire month in their basement. In May 1940, the sky was so full of planes that it looked dark. Her mother salvaged parachutes from downed aviators and used the silk to make clothing for her family. Food was scarce, and they subsisted on potatoes and black bread. As a professional musician, her father was forced to entertain Germans; he listened to their conversations and passed information to the Dutch resistance. Walker witnessed brutality against the Jews in her village, but she also knew German soldiers who were kind enough to bring her family food. When the war ended, there was a big celebration, with dancing in the streets. Walker and her family immigrated to North America, sponsored by Canadian soldiers they had hosted during the war.

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)0.004
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 score0.083
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0830.016

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 head0.022
GPT teacher head0.219
Teacher spread0.197 · 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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