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Record W1529405164 · doi:10.1921/jpts.v5i3.315

Group supervision for social work students on placement

2012· article· en· W1529405164 on OpenAlexaff
Paul McCafferty

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
KeywordsGeneral partnershipStatutory lawVoluntary sectorSocial workWork (physics)PedagogySocial careMedical educationPsychologyPublic relationsPolitical scienceSociologyNursingMedicineEngineering

Abstract

fetched live from OpenAlex

Partnership Care West is a voluntary organisation that contracts with the Northern Ireland Social Care Council (NISCC) to provide ten placements for social work students. NISCC is a statutory organisation, with responsibility for registering and regulating social care/work, improving standards in education and training and standardising practice in Northern Ireland NISCC (2003).The students attend the practice learning centre and are then given placements in voluntary sector sites established by the centre. Traditionally, the students were supervised on a one to one basis using the long arm approach. In recent years however, the centre has developed a model for supervising these students in groups.Building on my positive experience of conducting group supervision and to further my knowledge, skills and values in this area, I recently undertook an international comparison with the School of Social Work in Haifa Israel. This School has an already well established model for supervising students in groups and I hoped that I could learn something to help me develop my model further. I would like to thank Nava Arkin at the University of Haifa for her willingness to take part in this comparison and for her encouragement throughout. This article aims to outline my findings of the comparison and outline the theoretical constructs that make international comparisons in social work possible.

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)0.032
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.701
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.473
Teacher spread0.385 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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