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Record W7062896190

Whistling in the Dark: Memory and Culture in Wartime London

2016· article· en· W7062896190 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsFreedmanPoliticsVariety (cybernetics)NarrativeDramaZestMythologyGovernment (linguistics)Spanish Civil War
DOInot available

Abstract

fetched live from OpenAlex

Few historical images are more powerful than those of wartime London. Having survived a constant barrage of German bombs, the city is remembered as an island of courage and defiance. These wartime images are still in use today to support a wide variety of political viewpoints. But how well do such descriptions match the memories of those who survived the blitz? Jean Freedman interviewed more than fifty people who remember London during the war, focusing on under-represented groups, including women, Jews, and working-class citizens. In addition she examined original propaganda, secret government documents, wartime diaries, and postwar memoirs. Of particular significance to Freedman were the contemporary music, theater, film, speeches, and radio drama used by the British government to shape public opinion and impart political messages. Such bits of everyday life are mentioned in virtually every civilian’s experience of wartime London but their interpretations of them often clashed with their government’s intentions. By exploring the differences between wartime documentation and postwar memory, oral and written artifacts, and the voices of the powerful and the obscure, Freedman illuminates the complex interactions between myth and history. She concludes that there are as many interpretations of what really happened during Britain’s finest hour as there are people who remember it. Written with zest and commitment and will stimulate discussion. -- Albion A finely balanced narrative that broadens and complicates but does not essentially change the long-time view that people, on the whole, behaved well during that testing time. -- Canadian Literature Freedman compares postwar memory with a variety of wartime documents (e.g., BBC broadcasts; Ministry of Information memoranda; and film, diaries, and music) to analyze the relationship between myth and history in regard to London during WW II. -- Choice An excellent book. . . . Shows that history and memory are essential if we are to let those whispers be heard. -- Journal of Indian Folkloristics Adopts a fresh approach to one of the central myths of twentieth-century British history. -- Keith Robbins Freedman successfully abandons the view of a united and heroic wartime London without creating an opposing viewpoint that would be equally flawed. -- Library Journal A valuable addition to our understanding of wartime Britain. . . . Freedman brings to life the experiences of frequently ignored groups. -- Southern Historian Builds up a colourful and eclectic picture of wartime life. -- Twentieth-Century British History

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)0.002
metaresearch head score (Gemma)0.006
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0110.020
Scholarly communication0.0170.009
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.109
GPT teacher head0.314
Teacher spread0.205 · 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
Published2016
Admission routes1
Has abstractyes

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