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Record W4399125354 · doi:10.5296/ijsw.v11i1.21890

Rethinking the Epistemological Foundations of Social Work: An Inquiry into Its Artistic or Social Scientific Nature

2024· article· en· W4399125354 on OpenAlexaff
Mohamad Musa, Amy M. Alberton, Khaldoun Aldiabat, Chelsea McLellan

Bibliographic record

VenueInternational Journal of Social Work · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsCape Breton University
Fundersnot available
KeywordsEpistemologySociologyWork (physics)Social epistemologySocial sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

This research paper explores the ongoing discourse surrounding the professional identity of social work within the realm of social science disciplines. It posits the idea that social work may be more aptly classified as an art form, challenging established paradigms. Through a critical examination of various approaches in practice, ethics, and professionalism, the study highlights the absence of mandated educational seminars, a departure from norms observed in similar professions. Insights gleaned from the literature review shed light on the intricacies of social work practice, ethical dilemmas, and challenges in maintaining professionalism, and the limited use of evidence-based practices, leading many critics of the discipline to suggest that social work is needed but is not based on a robust scientific foundation, proposing it may be better characterized as an art than a science. Employing Arksey and O’Malley’s (2005) model for scoping reviews, the paper conducts a comprehensive search for both published and unpublished research spanning the last 25 years. Findings reveal existential challenges facing social work, such as funding cutbacks, increasing demands for mental health services, and inadequate initiatives for field practitioner support. These challenges, coupled with the lack of employment security, affect prospective students’ interest, thereby compromising education quality and service delivery. As a result, criticisms challenging the conventional categorization of social work as a social science gain momentum, suggesting that social work is more similar to an art form that relies heavily on practitioners’ intuition, empathy, and creative problem-solving abilities. This perspective contributes to disparities in funding, empirical research, and the scarcity of scientific rebuttals to practitioners’ narratives, which are often rich with anecdotal experiences and subjective interpretations.

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)0.081
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.982
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0810.051
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0150.011
Science and technology studies0.0180.199
Scholarly communication0.0350.035
Open science0.0050.018
Research integrity0.0090.013
Insufficient payload (model declined to judge)0.0020.000

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 head0.118
GPT teacher head0.461
Teacher spread0.343 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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