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Book part
Publication date: 25 July 2024

Vic Benuyenah

Abstract

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Human Resource Management
Type: Book
ISBN: 978-1-83797-673-7

Abstract

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Gender, True Crime and Criminology
Type: Book
ISBN: 978-1-80455-361-9

Article
Publication date: 14 March 2024

Louise D. Denne, Emily J. Roberts-Tyler and Corinna Grindle

Evidence-informed decision-making is considered best practice when choosing interventions in applied settings across health, social care and education. Developing that evidence…

Abstract

Purpose

Evidence-informed decision-making is considered best practice when choosing interventions in applied settings across health, social care and education. Developing that evidence base, however, is not straightforward. The pupose of this paper is to describe the process implemented by the Sharland Foundation Developmental Disabilities Applied Behavioural Research and Impact Network (SF-DDARIN) that systematically develops an evidence base for behaviorally based interventions.

Design/methodology/approach

In this case study, the progressive research steps undertaken by the SF-DDARIN to develop the evidence base for an online reading intervention, the Headsprout® Early Reading programme (HER®), which uses behavioural principles to promote learning to read, are described.

Findings

A series of discrete projects targeting gaps in the evidence base for HER® led to funding two randomised controlled trials in England, one in education and one in health and social care.

Originality/value

This case study illustrates an original, creative and effective way of collaborating across academic research departments and applied settings to extend the evidence base for a chosen intervention systematically.

Details

Tizard Learning Disability Review, vol. 29 no. 1
Type: Research Article
ISSN: 1359-5474

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Article
Publication date: 31 January 2023

Mrinalini Luthra, Konstantin Todorov, Charles Jeurgens and Giovanni Colavizza

This paper aims to expand the scope and mitigate the biases of extant archival indexes.

Abstract

Purpose

This paper aims to expand the scope and mitigate the biases of extant archival indexes.

Design/methodology/approach

The authors use automatic entity recognition on the archives of the Dutch East India Company to extract mentions of underrepresented people.

Findings

The authors release an annotated corpus and baselines for a shared task and show that the proposed goal is feasible.

Originality/value

Colonial archives are increasingly a focus of attention for historians and the public, broadening access to them is a pressing need for archives.

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