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Record W2507256673 · doi:10.5539/ach.v8n2p148

Self-Strengthening Movement of Late Qing China: an Intermediate Reform Doomed to Failure

2016· article· en· W2507256673 on OpenAlexvenueno aff
Jason Zhensheng Qu

Bibliographic record

VenueAsian Culture and History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsFeudalismModernization theoryChinaReform movementFellPolitical economyConservatismPoliticsEmpirePower (physics)Order (exchange)Political scienceDevelopment economicsEconomicsEconomyEconomic historyLawGeography

Abstract

fetched live from OpenAlex

Despite of strong economy including highest GDP gross and self-sufficient feudal economy system, the late Qing Empire fell behind the world trend with its isolationist trade policies. As the Western world caught up technologically, economically, and politically, the former biggest economy had suffered from consecutive losses in wars. In order to preserve the feudal regime, the initiative reform, termed the Self Strengthening Movement was grandly carried out. However, without the true support from the supreme power on one hand, and without the support of the populace on the other, the Movement was an intermediate reform in attempt to preserve the royal system and forestall its continued decline. In policy, the reforms envisioned Western-style modernization without adjusting the political order, yet the entrenched conservatism of the Qing Imperial Court proved to be the decisive hindering factor in the failure of the Movement.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.008
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.237
Teacher spread0.226 · 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 designNot applicable
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

Citations8
Published2016
Admission routes1
Has abstractyes

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