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Record W2617080868 · doi:10.5296/ijsw.v4i1.11157

The Current Status of Social Work Science and Research: A Review of the Literature and Its Implications for Post-Soviet Countries

2017· review· en· W2617080868 on OpenAlexfundno aff
Shorena Sadzaglishvili

Bibliographic record

VenueInternational Journal of Social Work · 2017
Typereview
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsnot available
FundersYork University
KeywordsSocial workWork (physics)Scope (computer science)Social science educationSocial changeSociologyPolitical sciencePublic relationsSocial scienceScience educationPedagogyEngineering

Abstract

fetched live from OpenAlex

This paper offers a review of the major literature about the modern status of social work as a science within the American and European contexts and its implications for post-Soviet countries where social work is an emerging profession. It identifies the most appropriate types of social work research (e.g. translational research) that can be used for bridging the science and service communities to directly affect the provision of services across different social work sectors. It also provides historical analysis of the various organizations within European and American social work to show their pivotal role in improving the scope and quality of social work research and consequently, social work as a science. And finally it suggests ways of increasing visibility of social work as science in post-Soviet countries through development of sound social work doctoral programs.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.996
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.012
Science and technology studies0.0020.004
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.253
GPT teacher head0.568
Teacher spread0.315 · 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.

Study designNot applicable
DomainEvaluation
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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