title: Men, male bias, patriarchy, masculinity, gender relations: What is the barrier to engendering development

authors: Simon-Kumar, Rachel

subjects: women-in-development

abstract: THE field of women-in-development (henceforth, w-i-d) is an evolving one. Its journey – which began in 1970 – has embraced a diversity of ideas that has come from practitioners, scholars and activists in both the countries of the South and the North. As a result, the analysis of women’s experiences has also evolved over this time. At the heart of the field is the premise that women have experienced development differently – if not discriminately – from men. The source and effect of the ‘difference’, however, is contested; the literature of the field is strewn with possibilities of how discrimination comes about. Are ‘men’ responsible, and if yes, which men? Or is the source of women’s oppression a more general ‘male bias’? How is that different from patriarchy? What is masculinity? And how does that contribute to women’s discrimination?

text: Men, male bias, patriarchy, masculinity, gender relations: What is the barrier to engendering development THE field of women-in-development (henceforth, w-i-d) is an evolving one. Its journey – which began in 1970 – has embraced a diversity of ideas that has come from practitioners, scholars and activists in both the countries of the South and the North. As a result, the analysis of women’s experiences has also evolved over this time. At the heart of the field is the premise that women have experienced development differently – if not discriminately – from men. The source and effect of the ‘difference’, however, is contested; the literature of the field is strewn with possibilities of how discrimination comes about. Are ‘men’ responsible, and if yes, which men? Or is the source of women’s oppression a more general ‘male bias’? How is that different from patriarchy? What is masculinity? And how does that contribute to women’s discrimination?

year: 2007

title: Lossless document image compression

authors: Inglis, Stuart J.

abstract: Document image compression reduces the storage requirements for digitised books or documents by using characters as the fundamental unit of compression. Compression gains can be achieved by identifying regions that contain text, isolating unique characters, and storing them in a codebook.

This thesis investigates several fundamental areas of the compression process. Algorithms for each area are tested on a corpus of images and the improvements tested for statistical significance. Methods for isolating characters from a bitmap are investigated along with techniques for determining reading order. We introduce the use of the docstrum to aid image compression and show that it improves upon previous methods. The Hough transform is shown to be an accurate method for determining page skew and gives robust results over a range of image resolutions. Compression is shown to improve when the skew of an image is determined automatically, and used to determine reading order.

If images can be segmented into regions of text and non-text, it is possible to change the compression model to reflect the region’s contents. Instead of developing ad hoc methods to classify the regions, we introduce the use of machine learning schemes, and show both high predictive accuracy and compression improvements. Machine learning schemes are also applied to the problem of matching characters to determine similarity. Using the scheme’s choice of parameters, the matching methods and their respective compression gains can be compared fairly. We investigate the changes in codebook size and compression gains when compressing multiple pages.

The compression system presented is complete, free of arbitrarily introduced parameters and achieves the best known lossless compression on a public corpus of images.

text: Lossless document image compression Document image compression reduces the storage requirements for digitised books or documents by using characters as the fundamental unit of compression. Compression gains can be achieved by identifying regions that contain text, isolating unique characters, and storing them in a codebook.

This thesis investigates several fundamental areas of the compression process. Algorithms for each area are tested on a corpus of images and the improvements tested for statistical significance. Methods for isolating characters from a bitmap are investigated along with techniques for determining reading order. We introduce the use of the docstrum to aid image compression and show that it improves upon previous methods. The Hough transform is shown to be an accurate method for determining page skew and gives robust results over a range of image resolutions. Compression is shown to improve when the skew of an image is determined automatically, and used to determine reading order.

If images can be segmented into regions of text and non-text, it is possible to change the compression model to reflect the region’s contents. Instead of developing ad hoc methods to classify the regions, we introduce the use of machine learning schemes, and show both high predictive accuracy and compression improvements. Machine learning schemes are also applied to the problem of matching characters to determine similarity. Using the scheme’s choice of parameters, the matching methods and their respective compression gains can be compared fairly. We investigate the changes in codebook size and compression gains when compressing multiple pages.

The compression system presented is complete, free of arbitrarily introduced parameters and achieves the best known lossless compression on a public corpus of images.

year: 1999

title: HIV diagnoses in indigenous peoples: comparison of Australia, Canada and New Zealand

authors: Shea, Beverley

subjects: HIV

abstract: In industrial countries, a number of factors put indigenous peoples at increased risk of HIV infection. National surveillance data between 1999 and 2008 provided diagnoses for Aboriginal and Torres Strait Islanders (Australia), First Nations, Inuit and Métis (Canada excluding Ontario and Quebec) and Māori (New Zealand). Each country provided similar data for a non-indigenous comparison population. Direct standardisation used the 2001 Canadian Aboriginal male population for comparison of five-year diagnosis rates in 1999–2003 and 2004–2008. Using the general population as denominators, we report diagnosis ratios for presumed heterosexual transmission, men who have sex with men (MSM) and intravenous drug users (IDU). Age standardised HIV diagnosis rates in indigenous peoples in Canada in 2004–2008 (178.1 and 178.4/100 000 for men and women respectively) were higher than in Australia (48.5 and 12.9/100 000) and New Zealand (41.9 and 4.3/100 000). Higher HIV diagnosis rates related to heterosexual contact among Aboriginal peoples, especially women, in Canada confirm a widening epidemic beyond the conventional risk groups. This potential of a generalised epidemic requires urgent attention in Aboriginal communities; available evidence can inform policy and action by all stakeholders. Although less striking in Australia and New Zealand, these findings may be relevant to indigenous peoples in other countries.

text: HIV diagnoses in indigenous peoples: comparison of Australia, Canada and New Zealand In industrial countries, a number of factors put indigenous peoples at increased risk of HIV infection. National surveillance data between 1999 and 2008 provided diagnoses for Aboriginal and Torres Strait Islanders (Australia), First Nations, Inuit and Métis (Canada excluding Ontario and Quebec) and Māori (New Zealand). Each country provided similar data for a non-indigenous comparison population. Direct standardisation used the 2001 Canadian Aboriginal male population for comparison of five-year diagnosis rates in 1999–2003 and 2004–2008. Using the general population as denominators, we report diagnosis ratios for presumed heterosexual transmission, men who have sex with men (MSM) and intravenous drug users (IDU). Age standardised HIV diagnosis rates in indigenous peoples in Canada in 2004–2008 (178.1 and 178.4/100 000 for men and women respectively) were higher than in Australia (48.5 and 12.9/100 000) and New Zealand (41.9 and 4.3/100 000). Higher HIV diagnosis rates related to heterosexual contact among Aboriginal peoples, especially women, in Canada confirm a widening epidemic beyond the conventional risk groups. This potential of a generalised epidemic requires urgent attention in Aboriginal communities; available evidence can inform policy and action by all stakeholders. Although less striking in Australia and New Zealand, these findings may be relevant to indigenous peoples in other countries.

year: 2011