title: Cultural safety for LGBTQIA+ people: A narrative review and implications for health care in Malaysia

authors: Tan, Kyle K. H.

abstract: LGBTQIA+ people in Malaysia constitute a marginalised population as they are subjected to cisheterosexism that permeates every layer of society. Cisheterosexist ideologies in Malaysia find their eligibility on secular and religious laws that criminalise LGBTQIA+ identities, which have detrimental consequences on LGBTQIA+ people’s mental health and their ability to access equitable health care. Existing literature has revealed limitations for healthcare providers to employ a blinded approach (i.e., treat everyone the same) and practise culturally competency when seeing LGBTQIA+ patients. In this narrative review, we compiled international evidence of culturally safe care for LGBTQIA+ people and outlined its relevance to interrogating power relationships within healthcare practices and structures. Our reviewed findings brought together five components of culturally safe care for LGBTQIA+ people: power-enhancing care; inclusive healthcare institutions; continuous education and research; promotion of visibility; and individualised care. These components set crucial milestones for healthcare providers to reflect on ways to equalise power dynamics in a provider–patient relationship. The applicability and implication of culturally safe healthcare in Malaysia are succinctly discussed.

text: Cultural safety for LGBTQIA+ people: A narrative review and implications for health care in Malaysia LGBTQIA+ people in Malaysia constitute a marginalised population as they are subjected to cisheterosexism that permeates every layer of society. Cisheterosexist ideologies in Malaysia find their eligibility on secular and religious laws that criminalise LGBTQIA+ identities, which have detrimental consequences on LGBTQIA+ people’s mental health and their ability to access equitable health care. Existing literature has revealed limitations for healthcare providers to employ a blinded approach (i.e., treat everyone the same) and practise culturally competency when seeing LGBTQIA+ patients. In this narrative review, we compiled international evidence of culturally safe care for LGBTQIA+ people and outlined its relevance to interrogating power relationships within healthcare practices and structures. Our reviewed findings brought together five components of culturally safe care for LGBTQIA+ people: power-enhancing care; inclusive healthcare institutions; continuous education and research; promotion of visibility; and individualised care. These components set crucial milestones for healthcare providers to reflect on ways to equalise power dynamics in a provider–patient relationship. The applicability and implication of culturally safe healthcare in Malaysia are succinctly discussed.

year: 2022

title: Practical machine learning and its application to problems in agriculture

authors: Witten, Ian H.

subjects: Machine learning

abstract: One of the most exciting and potentially far-reaching developments in contemporary computer science is the invention and application of methods of machine learning. These have evolved from simple adaptive parameter-estimation techniques to ways of (a) inducing classification rules from examples, (b) using prior knowledge to guide the interpretation of new examples, (c) using this interpretation to sharpen and refine the domain knowledge, and (d) storing and indexing example cases in ways that highlight their similarities and differences. Such techniques have been applied in domains ranging from the diagnosis of plant disease to the interpretation of medical test date. This paper reviews selected methods of machine learning with an emphasis on practical applications, and suggests how they might be used to address some important problems in the agriculture industries.

text: Practical machine learning and its application to problems in agriculture One of the most exciting and potentially far-reaching developments in contemporary computer science is the invention and application of methods of machine learning. These have evolved from simple adaptive parameter-estimation techniques to ways of (a) inducing classification rules from examples, (b) using prior knowledge to guide the interpretation of new examples, (c) using this interpretation to sharpen and refine the domain knowledge, and (d) storing and indexing example cases in ways that highlight their similarities and differences. Such techniques have been applied in domains ranging from the diagnosis of plant disease to the interpretation of medical test date. This paper reviews selected methods of machine learning with an emphasis on practical applications, and suggests how they might be used to address some important problems in the agriculture industries.

year: 1993

title: Verbs in Māori: The problem of definitional criteria

authors: Whaanga, Hēmi

subjects: te reo Māori

abstract: A range of different types of criteria has been applied at different points in the history of the classification of verbs in Māori. These have included syntactic and morphological criteria, semantic criteria and derivational criteria. Unfortunately, these criteria have not always been applied consistently and this has led to considerable disagreement about the classification of verbs in Māori. In this paper, different accounts of verb classification in Māori are critically examined and it is argued that some of the disagreements can be resolved by acknowledging (a) that words in Māori may be assigned to different word classes in different contexts, and (b) that word classes and sub-classes should be determined on the basis of morphological and syntactic criteria with semantic and derivational information playing a role only in so far as they have observable syntactic and/or morphological consequences.

text: Verbs in Māori: The problem of definitional criteria A range of different types of criteria has been applied at different points in the history of the classification of verbs in Māori. These have included syntactic and morphological criteria, semantic criteria and derivational criteria. Unfortunately, these criteria have not always been applied consistently and this has led to considerable disagreement about the classification of verbs in Māori. In this paper, different accounts of verb classification in Māori are critically examined and it is argued that some of the disagreements can be resolved by acknowledging (a) that words in Māori may be assigned to different word classes in different contexts, and (b) that word classes and sub-classes should be determined on the basis of morphological and syntactic criteria with semantic and derivational information playing a role only in so far as they have observable syntactic and/or morphological consequences.

year: 2000-10