“You Know What I Mean?”- Language and Cultural Retention in Luso-Canadian Mothers in the Greater Toronto Area

The Portuguese community is one of the largest diasporic groups in the Greater Toronto Area and the choice of retention and transmission of language and culture to Luso-Canadians is crucial to the development and sustainability of the community. The overall objective of this study is to learn about the factors that influence Luso-Canadian mothers’ inclination to teach Portuguese language and cultural retention to their children. To explore this topic I employed a qualitative research design that included in-depth interviews conducted in 2012 with six Luso-Canadian mothers. Three central arguments emerged from the findings. First, Luso-Canadian mothers interviewed posses a pronounced desire for their children to succeed academically, and to provide opportunities that their children that they did not have. Second, five of the mothers attempt to achieve this mothering objective partly by disconnecting from their Portuguese roots, and by disassociating their children from the Portuguese language and culture. Third, the disconnection they experience and enact is influenced by the divisions evident in the Portuguese community in the GTA that divides regions and hierarchically ranks dialects, and groups. I conclude that the children in these households inevitably bear the prospects of maintaining a vibrant Portuguese community in the GTA and I propose that actions by the community in ranking dialects influence mothers’ decisions about transmitting language and culture to their children.

Indigenous Language Reclamation: The Learners Perspective

ABSTRACT This study explored the link between learning an Indigenous language and the meanings second language learners attach to their language recovery experiences. The study delves into the factors that motivate, enhance and serve as barriers to individual language revitalization efforts. With the goal of reasserting an Indigenous world view, the traditional teachings of the Ojibwe medicine wheel were combined with the lessons of the seven Grandfathers to provide a methodological basis for conducting ethical research with and for the benefit of First Nations people. Within the context of our relationships with self, community, spirit and environment, the pairing of Indigenous theory with the practical community experiences of Indigenous second language learners, demonstrates how Indigenous systems of thought and ontology lend themselves well to the critical understanding necessary to enhance the recovery our own endangered languages. These research findings indicate that there is a definite link between ancestral language reclamation and increased levels of self-esteem, a sense of grounded cultural identity and resilience, an overall sense of healing and the social responsibility that comes with receiving the gift of language. The barriers associated with learning an ancestral language intersect on multiple and often simultaneous levels making it difficult for the language learners to discover their origin.This research found that it was important for language learners to identify that they often carry a collective sense of shame associated with an internalized attachment to the modality of Indigeneity. Once the origin of this shame was acknowledged – as resulting from settler/assimilation logics, it was often possible for people to move forward in their language recovery journeys, while at the same time considering more broadly the structural barriers that make individual learning so difficult.

Scottish Rite (Masonic Order) French Language Collection, 1787-1825, 1907, n.d.

The origins of the Scottish Rite of Freemasonry can be traced to France around 1754, when a Chapter of Claremont was founded in Paris. Initially this chapter had seven degrees, but by 1758 there were twenty-five degrees, known as the Rite of Perfection. In 1761, Stephen Morin was appointed to introduce the Rite into the New World. He began with Kingston, Jamaica and San Domingo. Further establishments were made in New Orleans, LA(1763); Albany, NY (1767); Philadelphia, PA (1782); and Charleston, SC (1783). In order to improve the disorganized state of the degrees in Europe, “Grand Constitutions” were enacted in 1786. These Constitutions formally brought into existence the “Ancient and Accepted Scottish Rite”. None of the degrees of the Scottish Rite would seem to have origins in Scotland. “Scottish” is translated from the French word “Ecossais”, which is found in some of the French titles of some of the degrees of the Rite of Perfection. It is possible that the Scottish connection is a result of the involvement of a Scotsman, Andrew Michael Ramsey, who may have devised some of the degrees.

Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks

Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that approximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowledge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this thesis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. Inspired by existing graph models, an abstract graph model was developed to serve as an embryo for inferring graph models of some complex networks. The GP system and abstract model were used to reproduce well-known graph models. The results indicated that the system was able to evolve models that produced networks that had structural similarities to the networks generated by the respective target models.

L-Fuzzy Structured Query Language

Lattice valued fuzziness is more general than crispness or fuzziness based on the unit interval. In this work, we present a query language for a lattice based fuzzy database. We define a Lattice Fuzzy Structured Query Language (LFSQL) taking its membership values from an arbitrary lattice L. LFSQL can handle, manage and represent crisp values, linear ordered membership degrees and also allows membership degrees from lattices with non-comparable values. This gives richer membership degrees, and hence makes LFSQL more flexible than FSQL or SQL. In order to handle vagueness or imprecise information, every entry into an L-fuzzy database is an L-fuzzy set instead of crisp values. All of this makes LFSQL an ideal query language to handle imprecise data where some factors are non-comparable. After defining the syntax of the language formally, we provide its semantics using L-fuzzy sets and relations. The semantics can be used in future work to investigate concepts such as functional dependencies. Last but not least, we present a parser for LFSQL implemented in Haskell.