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Record W2969917583 · doi:10.1108/jap-03-2019-0011

Mandatory reporting and adult safeguarding: a rapid realist review

2019· article· en· W2969917583 on OpenAlexaboutno aff
Sarah Donnelly

Bibliographic record

VenueThe Journal of Adult Protection · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicElder Abuse and Neglect
Canadian institutionsnot available
Fundersnot available
KeywordsSafeguardingOriginalityScope (computer science)Context (archaeology)Public relationsPolitical scienceValue (mathematics)Mandatory reportingBusinessMedicineLawPoison controlHuman factors and ergonomicsNursingGeography

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to critically analyse the concept of mandatory reporting in adult safeguarding in the jurisdictions of Australia, Canada, England, Northern Ireland and Scotland. Design/methodology/approach A rapid realist evaluation of the literature on this topic was carried out in order to answer the question: "what works, for whom and in what circumstances?” Particular attention was paid to Context(s), Mechanism(s) and Outcome(s) configurations of adult safeguarding reporting systems and processes. Findings The evaluation found a range of arguments for and against mandatory reporting and international variations on the scope and powers of mandatory reporting. Research limitations/implications This review was undertaken in late 2018 so subsequent policy and practice developments will be missing from the evaluation. The evaluation focussed on five jurisdictions therefore, the findings are not necessarily translatable to other contexts. Practical implications Some jurisdictions have introduced mandatory reporting and others are considering doing so. The potential advantages and challenges of introducing mandatory reporting are highlighted. Social implications The introduction of mandatory reporting may offer professionals increased powers to prevent and reduce the abuse of adults, but this could also change the dynamic of relationships within families, and between families and professionals. Originality/value This paper provides an accessible discussion of mandatory reporting across Ireland and internationally which to date has been lacking from the literature.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.031
GPT teacher head0.306
Teacher spread0.275 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations13
Published2019
Admission routes1
Has abstractyes

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