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Record W2885560708

“Why Didn’t Our Boys Just Shoot Him and Leave a Little Note?”: The Trial of Adolf Eichmann in Israel

2017· article· en· W2885560708 on OpenAlexaff
Katie Anne Cranford

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsThe HolocaustNazismNazi GermanyLawGenocideSpectaclePolitical scienceLegitimacyState (computer science)Jewish stateJudaismPoliticsSociologyHistoryPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

Historically speaking, the trial of former Nazi Adolf Eichmann was an unavoidable spectacle of the 1960s. For some, it could have been seen as a farce due to its inherent impartiality as the accused was illegally kidnapped out of Argentina and the proceedings were held in the fledgling state of Israel. For others, it reopened unpleasant wounds and brought back the horrors of Nazi Germany. For the world, it was an educational opportunity that allowed a new generation to learn about the atrocities of the Holocaust. My paper examines Eichmann’s role in the Holocaust, his trial and subsequent sentence, the question of the legitimacy of the proceedings, and the trial’s significant impact on how society viewed the Holocaust. From public opinion on Israel to new philosophical ideas, the Eichmann trial challenged people to reevaluate everything that they had known about Nazi barbarities, specifically those committed against the Jews. The reason why the Israelis did not simply “shoot him and leave a little note” was because his trial would, in fact, serve a political purpose. Was Eichmann really that important? Was he as central to the Holocaust as Israel would like the world to believe? There is a substantial amount of evidence that indicates Eichmann was not quite so important and that, instead, his highly- publicized trial was used to further the belief that the Holocaust was a uniquely Jewish experience thus validating the existence of the newly-created state of Israel in the Middle East.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0140.012
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.072
GPT teacher head0.361
Teacher spread0.289 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2017
Admission routes1
Has abstractyes

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