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EFFECT OF THE GLOBAL COVID-19 PANDEMIC ON THE FUNCTIONING OF CHINA'S FINANCIAL MARKETS AS COMPONENTS OF THE GLOBAL FINANCIAL MARKET

2022· article· en· W4285178630 on OpenAlex
B.A. Derevianko

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSOFT MEASUREMENTS AND COMPUTING · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsChinaPandemicQuarter (Canadian coin)Financial marketCoronavirus disease 2019 (COVID-19)Shock (circulatory)Government (linguistics)Economic stabilityEconomicsFinancial stabilityFinanceBusinessFinancial systemMacroeconomicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

As a result of the restrictive and stimulating measures imposed by the Chinese government, the national economy almost completely recovered in the second quarter of 2020. Nevertheless, some indicators indicate the possible instability of the situation and potential mediumand longterm effects on various aspects of China's economic life. At the moment, the country has been operating for more than two years under the conditions of the spread of the pandemic and strict comprehensive restrictive measures. The article describes the impact of the global pandemic and its economic consequences on the functioning of the financial market in China, its recovery after the global economic shock, and new trends in the development of various segments of the financial market in the postpandemic world.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.040
GPT teacher head0.250
Teacher spread0.210 · 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