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Record W3092853454 · doi:10.5167/uzh-200015

Bombs, broadcasts and resistance: Allied intervention and domestic opposition to the Nazi regime during World War II

2020· article· en· W3092853454 on OpenAlexaff
Maja Adena, Рубен Ениколопов, Maria Petrova, Hans‐Joachim Voth

Bibliographic record

VenueZurich Open Repository and Archive (University of Zurich) · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Influence and Politics
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsOffensiveOpposition (politics)Strategic bombingAdversaryNazismGermanPolitical scienceResistance (ecology)World War IILawPolitical economyCriminologyHistoryEngineeringComputer securitySociologyOperations researchPoliticsComputer science

Abstract

fetched live from OpenAlex

Can bombs and broadcasts instigate resistance against a foreign regime? In this paper, we examine the canonical case of bombing designed to undermine enemy morale - the Allied bomber offensive against Germany during World War II. Our evidence shows that air power and the airwaves indeed undermined regime support. We collect data on treason trials and combine it with information on the bombing of over 900 German towns and cities. Using plausibly exogenous variation in weather, we show that places that suffered more bombardment saw noticeably more opposition. Bombing also reduced the combat motivation of soldiers: fighter pilots from bombed-out cities performed markedly less well after raids. We also provide evidence that exposure to BBC radio, especially together with bombing, increased the number of resistance cases. We corroborate these findings with the evidence on people’s opinions and behavior using unique survey data collected in 1945.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
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
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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 teacher head, not a consensus.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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