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Record W2088822351 · doi:10.1080/17525090802692112

Searching for Chinese characteristics: a tentative empirical examination

2009· article· en· W2088822351 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChina Journal of Social Work · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChinaIdeologySocial workWork (physics)SociologyEmpirical researchEmpirical examinationPerceptionSocial changePolitical sciencePsychologyPoliticsLawEconomicsEpistemology

Abstract

fetched live from OpenAlex

In the mid‐1980s, social work, which had been practised in China in the years before 1949, was reintroduced as a newly imported social discipline. Like many other imported social ideas and practices, such as the free market, it was not well‐adapted to the socialist ideology of China and, therefore, was required to exhibit ‘Chinese characteristics’, (a term proposed by Deng Xiaoping to justify the economic reform in the early 1980s). In this paper, we first examine the discourse relating to Chinese characteristics in selected social work literature published in China. Then we report the findings of a qualitative study of 32 social work graduating students to gain an empirical understanding of these students' perception of the Chinese characteristics of social work. The implications of social work development in China and international social work are also discussed. 在20世纪80年代中期,社会工作在中国再度恢复了在社会科学中的学科地位。正如许多其它外来的思想和实践方法,如自由市场等概念一样,都没有被调整以适应“中国特色”的社会主义意识形态((此概念在20世纪80年代初由邓小平提出)。在本文中,作者首先根据一些在中国出版的中文文献,研究有关中国社会工作特色的论述。然后,作者通过对32名社会工作毕业生的定质研究去了解这些学生对中国社会工作特色的看法。本文也讨论了中国社会工作发展对国际社会工作的影响与含义。

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.850
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.049
GPT teacher head0.441
Teacher spread0.392 · 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