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Record W1518798261 · doi:10.1111/ijsw.12089

Social work in the making: The state and social work development in <scp>C</scp>hina

2014· article· en· W1518798261 on OpenAlexaff
Jian Gao, Miu Chung Yan

Bibliographic record

VenueInternational Journal of Social Welfare · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMandateGovernment (linguistics)Work (physics)Social workWelfare stateState (computer science)Social WelfarePoliticsNegotiationSociologyPublic administrationPolitical scienceEconomicsEconomic growthLawEngineering

Abstract

fetched live from OpenAlex

The instrumental role of government in the development of social work in China has led to questions about its political function. So far, little has been reported on how the government has “made” social work in China. To fill this gap, we first provide a brief chronological review of major policies and activities of the Chinese government in its making of social work in China. The state's intervention has indeed been massive and crucial although, politically, it may limit the mandate of social work in China. Yet, we argue that the development of the social work profession in China is generating institutional space for the emerging civil society to take a more active role in welfare service delivery. Situated and mediating between the state and the emerging civil society, the social work profession in China will need to constantly negotiate its mandate to meet the needs of both sides.

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)0.002
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 score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.009
Scholarly communication0.0080.004
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.358
Teacher spread0.325 · 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

Citations87
Published2014
Admission routes1
Has abstractyes

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