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Record W1999900950 · doi:10.1177/1466138111435043

<i>Song wennuan</i> , ‘sending warmth’: Unemployment, new urban poverty, and the affective state in China

2012· article· en· W1999900950 on OpenAlexaff
Jie Yang

Bibliographic record

VenueEthnography · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPovertyIdeologyState (computer science)UnemploymentChinaPoliticsRestructuringPower (physics)Welfare stateWelfareSociologyPolitical economySocial psychologyPsychologyEconomicsPolitical scienceEconomic growthMarket economyLaw

Abstract

fetched live from OpenAlex

The article examines the emerging welfare state in China through an analysis of the poverty-relief program of song wennuan, which sends the ‘warmth’ of the party in the form of gift to unemployed workers. In addition to material support, song wennuan which is imbued with psychologically infused ideologies and practice prescribes particular emotions and thought processes to and for the poor. Unlike the Western therapeutic (welfare) state which normalizes the marginalized, song wennuan nurtures the poor to highlight the benevolence of an affective state. This program thus transforms the poor from subjects with rights to objects of care, translating the exercise of power into an affective and therapeutic activity. Such affective measures patch up political and economic ‘wounds’ caused by economic restructuring and legitimate the ruling party’s continued existence in the market economy.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.101
Threshold uncertainty score0.201

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.279
Teacher spread0.266 · 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

Citations17
Published2012
Admission routes1
Has abstractyes

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