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Record W7071823255

Tunnel from Nazi-era found in Lithuania

2016· other· en· W7071823255 on OpenAlexaboutno aff

Bibliographic record

VenueInternet Archive (Internet Archive) · 2016
Typeother
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsLithuanianNazismWorld War IIJudaismState (computer science)Nazi GermanySoviet union
DOInot available

Abstract

fetched live from OpenAlex

In a Lithuanian forest, an international research team has pinpointed the location of a legendary tunnel that Jewish prisoners secretly dug out with spoons to try to escape their Nazi captors during World War II. A legendary tunnel that Jewish prisoners secretly dug out with spoons to try to escape their Nazi captors during World War II has been found in a Lithuanian forest.The tunnel's located in the forest known today as Paneriai (pah-neh-ray) outside of the Lithuanian capital of Vilnius......it's where some 100-thousand people, including 70-thousand Jews, were killed and thrown into pits during Nazi occupation.A team of archaeologists, geophysicists and Jewish historians from Israel, the U.S., Canada and Lithuania didn't want to disturb any human remains as they looked for the tunnell...So they used scanning technology called electrical resistivity tomography - the same kind used in mineral and oil exploration - to map out the path of the 34-meter -long tunnel.The tunnel's entrance was discovered in 2004.The Jewish State Museum in Vilnius then called on a research team to find the rest of it.Their quest is the subject of a forthcoming documentary by the science series NOVA, premiering next year.For the AP, I'm MR from the Rivet World Desk.

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 score0.461
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1140.018

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 head0.019
GPT teacher head0.222
Teacher spread0.203 · 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
Published2016
Admission routes1
Has abstractyes

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