MétaCan
Menu
Back to cohort

System Guarantee for Social Equity in Today's China

2012· article· en· W1911713603 on OpenAlexvenueno aff
Ma Lu-yan, Xiaoning Zhu

Bibliographic record

VenueCross-cultural communication · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)ChinaBusinessSocial securitySocial equalityEquity capital marketsSocial justicePublic economicsEconomicsFinanceLaw and economicsMarket economyPolitical scienceLawPrivate equity

Abstract

fetched live from OpenAlex

Social equity is balanced and equal distribution of rights and interests. A sound system is the fundamental guarantee for social equity. Unfortunately, imperfection of the current system in China obstructed social equity in today’s China such as income distribution system, dual urbanrural system, market economic system, citizen rights and interests, protection system and social security system. To eliminate these barriers, strengthen system building and guarantee social equity, equity and justice should be taken as the primary goal of value for system building; a guarantee mechanism for social equity system should be built focusing on fairness in rights, opportunities, rules and distribution; and a system to guarantee social equity should be built and perfected with multi-tiered systems including macro basic system, medium operation system and microcosmic concrete system. Key words: Social equity; System; Guarantee

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.099
GPT teacher head0.383
Teacher spread0.283 · 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 designObservational
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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCross-cultural communicationSame topicHealthcare Systems and ReformsFrench-language works237,207