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Record W2110456355 · doi:10.1108/14668201211256681

What difference does the Adult Support and Protection (Scotland) 2007 make to social work service practitioners' safeguarding practice?

2012· article· en· W2110456355 on OpenAlexaff
Kathryn Mackay, Mary Notman, Justin McNicholl, Diane Fraser, Claire McLaughlan, Sylvia Rossi

Bibliographic record

VenueThe Journal of Adult Protection · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsSelkirk College
Fundersnot available
KeywordsSafeguardingLegislationCLARITYAutonomyHarmPublic relationsOriginalitySocial workWork (physics)Service (business)Political scienceMedicineNursingBusinessLaw

Abstract

fetched live from OpenAlex

Purpose This article seeks to explore the difference that adult support and protection legislation may have made to work with adults at risk of harm in Scotland. Design/methodology/approach The article is based upon findings of a joint academic and practitioner qualitative research project that interviewed 29 social service practitioners across three local authorities. Findings The legislation was seen as positive, giving greater attention to adults at risk. Views about the actual difference it made to the practitioners' practice varied, and were more likely in new rather than ongoing work. Three differences were noted: duties of investigation, protection orders and improved shared responsibility within the local authority and across other agencies, but to a lesser extent NHS staff. Overall it gave effective responses, more quickly for the adults at risk. Whilst the law brought greater clarity of role, there were tensions for practitioners in balancing an adult's right to autonomy with practitioners' safeguarding responsibilities. Originality/value The paper demonstrates that a dedicated law can improve safeguarding practice by clarifying the role of social work practitioners and the responsibilities of other agencies. The right to request access to records and banning orders were seen as valuable new measures in safeguarding adults at risk. As such the study from the first UK country to use dedicated adult safeguarding law offers a valuable insight for policy makers, professionals and campaign groups from other countries, which might be considering similar action.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.002
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 head0.025
GPT teacher head0.304
Teacher spread0.279 · 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

Citations15
Published2012
Admission routes1
Has abstractyes

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