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The Influence of Early Twentieth-Century Technology

2018· book-chapter· en· W3000340134 on OpenAlexaboutno aff
Eugene Marlow

Bibliographic record

VenueUniversity Press of Mississippi eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsJazzChinaColonialismHistoryQuarter (Canadian coin)Ancient historyEconomic historyArt historyArchaeology

Abstract

fetched live from OpenAlex

The superior war-making technology of the Western colonial powers—the steam-driven warship and cannon—made the difference between China prevailing and its defeat during the Opium Wars. It resulted in the colonial powers controlling Shanghai, tantamount to controlling China. In turn, the colonial powers brought their culture with them to Shanghai, which included jazz in the first quarter of the twentieth century. Within a couple of decades, jazz became not only the music of Shanghai but was global. This chapter asks how jazz traveled halfway around the world to China (and in the other direction, to Europe) so quickly? And how did the non-American musicians in Shanghai (Russians, Filipinos, and Chinese) learn to play the music for dance hall purposes? Transportation and communications technologies of the early twentieth century—the steamship, the locomotive, the gramophone, and early film—also were major influences in bringing jazz to China's shores.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.985
Threshold uncertainty score0.999

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 studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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