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Record W2377644164

International Vision of Social Work Development Against Background of Harmonious Society

2008· article· en· W2377644164 on OpenAlexaboutno aff
Haiping Yu

Bibliographic record

VenueJournal of China University of Mining & Technology(Social Science) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSocial workIntervention (counseling)Harmonious SocietyWork (physics)Promotion (chess)Face (sociological concept)Social changePublic relationsChinaPolitical scienceSociologyEngineering ethicsEconomic growthSocial scienceMedicineNursingLawEngineering
DOInot available

Abstract

fetched live from OpenAlex

This paper discusses shared origins and differences in the social work professions and education programs in the United States and Canada.Consideration is given to how the social work professions in the two countries try to resolve the possible inherent conflict between emphasis on dealing with problems of individuals with intervention approaches such as casework and therapy and emphasis on addressing the problems of society with social reform intervention approaches.Meanwhile,it must be noted that the social work profession and social work education programs both in the US and Canada face serious common challenges.This research will make more positive contributions to the adjustment of social work orientation,the development of social work and the promotion of its education,which will be benefitial to the construction of our harmonious society in an all-round way in China.

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)0.005
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0080.025
Scholarly communication0.0110.005
Open science0.0010.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.305
Teacher spread0.278 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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