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Record W4289745117 · doi:10.1080/02615479.2022.2107196

The development of social work education in South Korea: a historical review

2022· review· en· W4289745117 on OpenAlex
Jin Ah Lee, Miu Chung Yan

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

VenueSocial Work Education · 2022
Typereview
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSocial workAccountabilityWork (physics)State (computer science)Mechanism (biology)Public administrationPolitical sciencePublic relationsSocial changeSociologyProfessional developmentInstitutionalismPerspective (graphical)Welfare stateSocial WelfareEconomic growthPedagogyLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Social work education is a major institutional mechanism for providing trained and capable professionals who can ensure the profession’s accountability to public interests. In many countries, through enacting laws and issuing policies, the state plays an important role in shaping the training and preparation of professional social workers. Despite the significant role of the state in shaping social work education, this topic has attracted little attention in the literature. Informed by an historical institutionalism perspective, in this paper, we examine how the state shapes social work education in South Korea, a systematic introduction which is rarely found in the English literature. Looking at its development process, we suggest that social work education in South Korea has been shaped by and positioned as an institutional mechanism to support the development of its welfare regime.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.009
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.096
GPT teacher head0.429
Teacher spread0.333 · 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