Found in translation

Vogel, Carl; Lynch, Ger; Moreau, Erwan; Sánchez, Liliana; Ritchie, Phil

doi:10.1075/ts.2.05vog

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…Analysis of KII and FGD data were managed using NVivo 10 (QSR International, Melbourne, Australia). Data were reviewed following a thematic approach using framework analysis, a matrix-based system for organising, reducing and synthesising data (Vogel et al 2013 ). A codebook was developed by three study team members and imported into NVivo 12.…”

Section: Methodsmentioning

confidence: 99%

Obuntu bulamu: Parental peer-to-peer support for inclusion of children with disabilities in Central Uganda

Nalugya

Nambejja

Nimusiima

et al. 2023

African Journal of Disability

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Background: Obuntu bulamu, a peer-to-peer support intervention for children, parents and teachers to improve the participation and inclusion of children with disabilities (CwD), was developed and tested in Uganda. The intervention consisted of disability-inclusive peer-to-peer training and support activities. In this article, parent participation in and evaluation of the intervention are discussed.Objectives: The study aims to evaluate the acceptability and feasibility of the intervention.Methods: A qualitative Afrocentric intervention study was implemented in 10 schools in Wakiso district in Central Uganda. Researchers purposely selected CwD aged 8–14 years, their peers and parents from 10 primary schools with on average three CwD per school. A total of 64 study parents (33 parents of CwD and 31 peers) were interviewed at baseline and endline. Two focus group discussions were held with 14 parents at midline. Parents also participated in a consultative meeting about the intervention design at baseline and two evaluation and feedback workshops at midline and endline. Thematic data analysis was conducted.Results: Findings showed that parents found the intervention inspiring, acceptable, culturally appropriate and supportive, as it built on values and practices from their own cultural tradition. Parents reported that the intervention enhanced a sense of togetherness and belonging and helped them to develop more positive attitudes towards CwD and disability inclusion. They felt the intervention increased participation and inclusion of CwD at home, school and in communities.Conclusion: The Obuntu bulamu peer-to-peer support intervention is an acceptable, culturally appropriate intervention with the potential to improve inclusion of CwD. Further studies are recommended to measure the effectiveness of the intervention.Contribution: The paper contributes to existing evidence that there is need for more Afrocentric interventions, which built on cultural values and practices. Interventions based on indigenous values have a greater potential to be acceptable, can foster integration and are likely to be more sustainability to achieve disability inclusion. In the article we describe parental perspectives of the Obuntu bulamu intervention, an intervention to improve inclusion of children with disabilities, which was designed by children, parents, teachers, educationalists, and academics from Uganda

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Section: Methodsmentioning

confidence: 99%

Obuntu bulamu: Parental peer-to-peer support for inclusion of children with disabilities in Central Uganda

Nalugya

Nambejja

Nimusiima

et al. 2023

African Journal of Disability

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“…The textual features used in our work such as n-grams of words and parts-of-speech have been used for gender-based language classification (Koppel et al, 2002), social profiling and personality type detection (Mairesse et al, 2007), native language detection from L2 text, (Brooke and Hirst, 2012) translation source language detection, (van Halteren, 2008;Lynch and Vogel, 2012) and translation quality detection, (Vogel et al, 2013).…”

Section: Studies On Non-twitter Datamentioning

confidence: 99%

Linguistically Informed Tweet Categorization for Online Reputation Management

Lynch¹,

Cunningham²

2014

Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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Determining relevant content automatically is a challenging task for any aggregation system. In the business intelligence domain, particularly in the application area of Online Reputation Management, it may be desirable to label tweets as either customer comments which deserve rapid attention or tweets from industry experts or sources regarding the higher-level operations of a particular entity. We present an approach using a combination of linguistic and Twitter-specific features to represent tweets and examine the efficacy of these in distinguishing between tweets which have been labelled using Amazon's Mechanical Turk crowdsourcing platform. Features such as partof-speech tags and function words prove highly effective at discriminating between the two categories of tweet related to several distinct entity types, with Twitterrelated metrics such as the presence of hashtags, retweets and user mentions also adding to classification accuracy. Accuracy of 86% is reported using an SVM classifier and a mixed set of the aforementioned features on a corpus of tweets related to seven business entities.

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Found in translation

Cited by 2 publications

References 17 publications

Obuntu bulamu: Parental peer-to-peer support for inclusion of children with disabilities in Central Uganda

Obuntu bulamu: Parental peer-to-peer support for inclusion of children with disabilities in Central Uganda

Linguistically Informed Tweet Categorization for Online Reputation Management

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