title: Formulaic Discourse Patterning in Mōteatea

authors: Roa, Te Raukura o Te Rangimarie

subjects: mōteatea

abstract: Oral formulaic composition, which involves the use of communally owned formulae of various kinds, is a common feature of verbal arts produced in many different languages. It is particularly associated with pre-literate cultures and tends to be gradually replaced by more individualistic verbal art forms when societies become literate. There are very few publications in which the analysis of mōteatea (Māori laments) is linked explicitly to oral formulaic theory. Nevertheless, there is, I believe, sufficient evidence in published sources to indicate that traditional mōteatea (defined here as mōteatea that are not fundamentally influenced by European cultural beliefs and practices) exhibit evidence of regularly recurring, conventional themes (such as death, separation, loss and travel) and motifs (such as the setting sun, the presence of rain or mist and sleeplessness).  There is, however, considerably less evidence that traditional mōteatea make extensive use of verbal formulae, that is, of the same or very similar groups of words derived from a common store of poetic resources. Although there are references in the literature to the conventionalized use of language in mōteatea, and although it has been claimed that there are at least some commonly recurring verbal expressions, this is by no means evidence of reliance on a common stock of verbal formulae. Indeed, no attempt has hitherto been made to define precisely what might be meant by the term 'oral formula' in the context of compositions in te reo Māori, something that is clearly required in view, in particular, of the fact that the phrasal structure of the language means that certain groupings (e.g. i te X; ki te X) are very likely to occur in certain contexts irrespective of genre. Furthermore, in the literature on oral formulaic composition, oral formulae are generally linked to particular metrical conditions and there is, it is argued here, no convincing empirically-based evidence that mōteatea conform to any common metrical structure or structures (see Chapters 2 and 4).

In the context of a critical review of selected literature on oral formulaic theory (Chapter 2) and mōteatea (Chapter 3), this thesis sets out to test the hypothesis that traditional mōteatea were composed, in whole or in large part, from a common stock of oral formulae. The conclusion, based on analysis of a selection of mōteatea included in Ngā mōteatea, a collection initially established by Sir Apirana Ngata, is that this hypothesis must be rejected (Chapter 4). However, a model derived from a review of selected literature on discourse structure (Chapter 5) was also applied to the analysis of a sample of these mōteatea (Chapter 6). On the basis of this analysis, it is concluded that they exhibit one of two very similar discourse prototypes, each of which involves a particular combination of discourse elements. What distinguishes the two prototypes is the fact that only one of them is characterized by the inclusion of hortatory sections in which the poet urges one or more of the protagonists to undergo one or more steps or stages required to achieve a particular outcome, such as entry into the spirit world or vengeance for death and/ or humiliation.

text: Formulaic Discourse Patterning in Mōteatea Oral formulaic composition, which involves the use of communally owned formulae of various kinds, is a common feature of verbal arts produced in many different languages. It is particularly associated with pre-literate cultures and tends to be gradually replaced by more individualistic verbal art forms when societies become literate. There are very few publications in which the analysis of mōteatea (Māori laments) is linked explicitly to oral formulaic theory. Nevertheless, there is, I believe, sufficient evidence in published sources to indicate that traditional mōteatea (defined here as mōteatea that are not fundamentally influenced by European cultural beliefs and practices) exhibit evidence of regularly recurring, conventional themes (such as death, separation, loss and travel) and motifs (such as the setting sun, the presence of rain or mist and sleeplessness).  There is, however, considerably less evidence that traditional mōteatea make extensive use of verbal formulae, that is, of the same or very similar groups of words derived from a common store of poetic resources. Although there are references in the literature to the conventionalized use of language in mōteatea, and although it has been claimed that there are at least some commonly recurring verbal expressions, this is by no means evidence of reliance on a common stock of verbal formulae. Indeed, no attempt has hitherto been made to define precisely what might be meant by the term 'oral formula' in the context of compositions in te reo Māori, something that is clearly required in view, in particular, of the fact that the phrasal structure of the language means that certain groupings (e.g. i te X; ki te X) are very likely to occur in certain contexts irrespective of genre. Furthermore, in the literature on oral formulaic composition, oral formulae are generally linked to particular metrical conditions and there is, it is argued here, no convincing empirically-based evidence that mōteatea conform to any common metrical structure or structures (see Chapters 2 and 4).

In the context of a critical review of selected literature on oral formulaic theory (Chapter 2) and mōteatea (Chapter 3), this thesis sets out to test the hypothesis that traditional mōteatea were composed, in whole or in large part, from a common stock of oral formulae. The conclusion, based on analysis of a selection of mōteatea included in Ngā mōteatea, a collection initially established by Sir Apirana Ngata, is that this hypothesis must be rejected (Chapter 4). However, a model derived from a review of selected literature on discourse structure (Chapter 5) was also applied to the analysis of a sample of these mōteatea (Chapter 6). On the basis of this analysis, it is concluded that they exhibit one of two very similar discourse prototypes, each of which involves a particular combination of discourse elements. What distinguishes the two prototypes is the fact that only one of them is characterized by the inclusion of hortatory sections in which the poet urges one or more of the protagonists to undergo one or more steps or stages required to achieve a particular outcome, such as entry into the spirit world or vengeance for death and/ or humiliation.

year: 2008

title: Haumanu hauora: A commentary on strengthening health institution responsiveness to Māori health in the face of climate change

authors: Masters-Awatere, Bridgette

abstract: Climate change is the biggest threat to humanity through compounding ecological disasters. A focus on global averages tends to hide dramatic differences and mask health disparities that exist for Indigenous people. For 21 years, district health boards (DHBs) were responsible for providing or funding the provision of health services across Aotearoa. The introduction of the Pae Ora (Healthy Futures) Act 2022 disestablished DHBs and offered an opportunity to reshape health in ways that give serious consideration to climate change impacts. The need to give greater consideration to Indigenous people in climate change conversations is essential. The Waitangi Tribunal highlights areas where the Crown needs to work to improve Māori health outcomes. A clear deficit in existing policy process means a lack of preparedness for the intersecting health crises vulnerable Māori will experience in the face of climate change. Structural change is needed to strengthen health institution responsiveness to Māori health needs.

text: Haumanu hauora: A commentary on strengthening health institution responsiveness to Māori health in the face of climate change Climate change is the biggest threat to humanity through compounding ecological disasters. A focus on global averages tends to hide dramatic differences and mask health disparities that exist for Indigenous people. For 21 years, district health boards (DHBs) were responsible for providing or funding the provision of health services across Aotearoa. The introduction of the Pae Ora (Healthy Futures) Act 2022 disestablished DHBs and offered an opportunity to reshape health in ways that give serious consideration to climate change impacts. The need to give greater consideration to Indigenous people in climate change conversations is essential. The Waitangi Tribunal highlights areas where the Crown needs to work to improve Māori health outcomes. A clear deficit in existing policy process means a lack of preparedness for the intersecting health crises vulnerable Māori will experience in the face of climate change. Structural change is needed to strengthen health institution responsiveness to Māori health needs.

year: 2025

title: Interactive concept learning for end-user applications

authors: Maulsby, David

subjects: computer science

abstract: Personalizable software agents will learn new tasks from their users. This implies being able to learn from instructions users might give: examples, yes/no responses, and ambiguous, incomplete hints. Agents should also exploit background knowledge customized for applications such as drawing, word processing and form-filling. The task models that agents learn describe data, actions and their context. Learning about data from examples and hints is the subject of this paper. The Cima learning system combines evidence from examples, task knowledge and user hints to form Disjunctive Normal Form (DNF) rules for classifying, generating or modifying data. Cima's dynamic bias manager generates candidate features (attribute values, functions or relations), from which its DNF learning algorithm selects relevant features and forms the rules. The algorithm is based on a classic greedy method, with two enhancements. First, the standard learning criterion, correct classification, is augmented with a set of utility and instructional criteria. Utility criteria ensure that descriptions are properly formed for use in actions, whether to classify, search for, generate or modify data. Instructional criteria ensure that descriptions include features that users suggest and avoid those that users reject. The second enhancement is to augment the usual statistical metric for selecting relevant attributes with a set of heuristics, including beliefs based on user suggestions and application-specific background knowledge. Using multiple heuristics increases the justification for selecting features; more important, it helps the learner choose among alternative interpretations of hints. When tested on dialogues observed in a prior user study on a simulated interface agent, the learning algorithm achieves 95% of the learning efficiency standard established in that study.

text: Interactive concept learning for end-user applications Personalizable software agents will learn new tasks from their users. This implies being able to learn from instructions users might give: examples, yes/no responses, and ambiguous, incomplete hints. Agents should also exploit background knowledge customized for applications such as drawing, word processing and form-filling. The task models that agents learn describe data, actions and their context. Learning about data from examples and hints is the subject of this paper. The Cima learning system combines evidence from examples, task knowledge and user hints to form Disjunctive Normal Form (DNF) rules for classifying, generating or modifying data. Cima's dynamic bias manager generates candidate features (attribute values, functions or relations), from which its DNF learning algorithm selects relevant features and forms the rules. The algorithm is based on a classic greedy method, with two enhancements. First, the standard learning criterion, correct classification, is augmented with a set of utility and instructional criteria. Utility criteria ensure that descriptions are properly formed for use in actions, whether to classify, search for, generate or modify data. Instructional criteria ensure that descriptions include features that users suggest and avoid those that users reject. The second enhancement is to augment the usual statistical metric for selecting relevant attributes with a set of heuristics, including beliefs based on user suggestions and application-specific background knowledge. Using multiple heuristics increases the justification for selecting features; more important, it helps the learner choose among alternative interpretations of hints. When tested on dialogues observed in a prior user study on a simulated interface agent, the learning algorithm achieves 95% of the learning efficiency standard established in that study.

year: 1995-02