‘Psy’ expert evidence in the family courts
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://ojs.letras.up.pt/index.php/LLLD/article/view/12828 |
Resumo: | This article introduces corpus-assisted linguistic methods as an exploratory means of analysing expert psychologists’ reports used in public family law (child protection) cases. Analysis of this dataset is a new application for corpus linguistics (CL) and the primary purpose of this article is to explore viability and potential for its future research using CL as a core method. For this study we have created and analysed a 25 single-text-type specialised written corpus consisting of 25 expert psychologists’ reports (the Psychology Report Corpus “PRC-25”). The reports are a random sample selected from a population of all psychologists’ reports held in Cafcass files over a 10-year period, representing the first corpus of its kind in a currently under-researched area. Our study uses both an inductive (data-driven) approach to identify significant themes and topics in the reports, and a deductive (legal-intuitive) approach to explore psychologists’ use of legally significant terms, especially risk of and significant harm. We also explore the possibility for using this new methodological protocol to triangulate analysis of a larger and representative corpus of expert psychologists’ reports, and the possibilities for corpus-driven analysis of the genre of written expert evidence text types more generally. |
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‘Psy’ expert evidence in the family courtsArticlesThis article introduces corpus-assisted linguistic methods as an exploratory means of analysing expert psychologists’ reports used in public family law (child protection) cases. Analysis of this dataset is a new application for corpus linguistics (CL) and the primary purpose of this article is to explore viability and potential for its future research using CL as a core method. For this study we have created and analysed a 25 single-text-type specialised written corpus consisting of 25 expert psychologists’ reports (the Psychology Report Corpus “PRC-25”). The reports are a random sample selected from a population of all psychologists’ reports held in Cafcass files over a 10-year period, representing the first corpus of its kind in a currently under-researched area. Our study uses both an inductive (data-driven) approach to identify significant themes and topics in the reports, and a deductive (legal-intuitive) approach to explore psychologists’ use of legally significant terms, especially risk of and significant harm. We also explore the possibility for using this new methodological protocol to triangulate analysis of a larger and representative corpus of expert psychologists’ reports, and the possibilities for corpus-driven analysis of the genre of written expert evidence text types more generally.Faculdade de Letras da Universidade do Porto2022-11-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://ojs.letras.up.pt/index.php/LLLD/article/view/12828eng2183-3745Devine, Lauren, et al.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-01-13T03:48:08Zoai:ojs.letras.up.pt/ojs:article/12828Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:31:26.802651Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
‘Psy’ expert evidence in the family courts |
title |
‘Psy’ expert evidence in the family courts |
spellingShingle |
‘Psy’ expert evidence in the family courts Devine, Lauren Articles |
title_short |
‘Psy’ expert evidence in the family courts |
title_full |
‘Psy’ expert evidence in the family courts |
title_fullStr |
‘Psy’ expert evidence in the family courts |
title_full_unstemmed |
‘Psy’ expert evidence in the family courts |
title_sort |
‘Psy’ expert evidence in the family courts |
author |
Devine, Lauren |
author_facet |
Devine, Lauren , et al. |
author_role |
author |
author2 |
, et al. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Devine, Lauren , et al. |
dc.subject.por.fl_str_mv |
Articles |
topic |
Articles |
description |
This article introduces corpus-assisted linguistic methods as an exploratory means of analysing expert psychologists’ reports used in public family law (child protection) cases. Analysis of this dataset is a new application for corpus linguistics (CL) and the primary purpose of this article is to explore viability and potential for its future research using CL as a core method. For this study we have created and analysed a 25 single-text-type specialised written corpus consisting of 25 expert psychologists’ reports (the Psychology Report Corpus “PRC-25”). The reports are a random sample selected from a population of all psychologists’ reports held in Cafcass files over a 10-year period, representing the first corpus of its kind in a currently under-researched area. Our study uses both an inductive (data-driven) approach to identify significant themes and topics in the reports, and a deductive (legal-intuitive) approach to explore psychologists’ use of legally significant terms, especially risk of and significant harm. We also explore the possibility for using this new methodological protocol to triangulate analysis of a larger and representative corpus of expert psychologists’ reports, and the possibilities for corpus-driven analysis of the genre of written expert evidence text types more generally. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-22 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.letras.up.pt/index.php/LLLD/article/view/12828 |
url |
https://ojs.letras.up.pt/index.php/LLLD/article/view/12828 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2183-3745 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Faculdade de Letras da Universidade do Porto |
publisher.none.fl_str_mv |
Faculdade de Letras da Universidade do Porto |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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