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Record W4220969461 · doi:10.1177/00208728221083773

Positioning structural social work in Indian context

2022· article· en· W4220969461 on OpenAlexaff
Baiju P. Vareed, Carmen Plante, Rincy Sebastian

Bibliographic record

VenueInternational Social Work · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsRed Deer PolytechnicMacEwan University
Fundersnot available
KeywordsSocial workSocial changeTransformative learningSociologyIdeologySocial philosophySocial structureContext (archaeology)Social entropyWork (physics)Social environmentSocial positionEnvironmental ethicsPublic relationsSocial scienceSocial relationPolitical sciencePoliticsSocial inertiaLawPedagogyEngineering

Abstract

fetched live from OpenAlex

Postmodern ideologies and human rights movements in the last quarter of the 20th century contributed to the development of a critical, radical approach in social work practice and education in North America. This ‘structural social work’ approach argues that social problems are largely the result of oppressive social structures, not individual deficiencies. Social workers are ethically obligated to change oppressive structures rather than simply helping clients to adjust to them. Structural social work, a transformative approach, can benefit Indian society. This article discusses introducing ‘structural social work’ into an Indian social work context and proposes a framework for its practice.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0180.054
Scholarly communication0.0140.004
Open science0.0020.014
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.366
Teacher spread0.338 · 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 designTheoretical or conceptual
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

Citations3
Published2022
Admission routes1
Has abstractyes

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