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Record W2041115525 · doi:10.1921/jpts.v9i2.399

Exploring the experiences of practice teachers who are not social workers

2012· article· en· W2041115525 on OpenAlexaff
Chris Laycock, Laura Walker, Laura Heath

Bibliographic record

VenueThe Journal of Practice Teaching in Health and Social Work · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsSocial workVoluntary sectorStatutory lawWork (physics)Variety (cybernetics)PedagogyMedical educationPsychologyPublic relationsFocus groupSociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

Professionals without a social work qualification have been involved in the practice teaching of social work students since the days of CCETSW (the former education and training body for social work in the UK). Historically this has always happened more in the voluntary sector. With the advent of the Social Work Degree in England, the 50% increase in demand for placements in a variety of settings has seen reliance on practice teachers who are not social workers.This raises some interesting questions about how professionals who are not social workers should be trained and supported in the role of practice teacher.We will attempt to explore these questions, drawing on responses to a questionnaire sent to a range of practice teachers in a county in northern England as well as feedback obtained from a focus group drawn from respondents to the questionnaire. The participants in the research came from a range of work backgrounds in the voluntary and statutory sectors. The experiences discussed in the research, in the main, relate to the Diploma in Social Work (the former UK qualification) as the degree only started in 2003- 2004. We will refer to research participants as Practice Teachers. The key criterion for involvement was that all participants in the study had had sole responsibility for at least one social work student.

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)0.039
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.432
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.002
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 head0.157
GPT teacher head0.442
Teacher spread0.284 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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
Published2012
Admission routes1
Has abstractyes

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