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Record W4408837404 · doi:10.1080/02615479.2025.2484360

Current issues with social work field education and ideas for change

2025· article· en· W4408837404 on OpenAlexaff
Andrew D. Eaton

Bibliographic record

VenueSocial Work Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of ReginaUniversity of Toronto
Fundersnot available
KeywordsSocial workField (mathematics)Engineering ethicsSociologyWork (physics)Social changePedagogyPolitical scienceEngineeringMechanical engineeringLaw

Abstract

fetched live from OpenAlex

Field education is a significant component of social work education and might be the signature pedagogy. Yet current issues limit the quality of experience that students can receive from practicum. These issues include austerity policies, exhaustion of altruism, trends toward clinical social work and privatized human services, and a lack of student readiness. Degree granting institutions, such as universities, have long relied on altruism to run social work field education programs but austerity measures may mean that historical altruism can no longer be relied upon. The lack of compensation for practicum students and field instructors is unethical and may contribute to conflicts of interest and exploitation in practicum. This article details these present challenges in social work field education through incorporating scholarship and reflection and presents ideas for change. Enhanced orientation and stipends for practicum students and field instructors have shown preliminary promise in mitigating modern social work field education difficulties. For field education to be social work’s signature pedagogy, practicum planning and associated policies must be treated with respect and rigor, constantly scrutinized and improved upon as the field develops and changes.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.858
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.437
Teacher spread0.389 · 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 teacher head, not a consensus.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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