Archive for February, 2007

Nancy Schepper-Huges’ graphic portrayal of hunger and violance in Brazil

Death without weeping: The violence of everyday life in Brazil

Rating: 4 out of 5

Author: Nancy Schepper-Huges

Year: 1992

Category: Anthropology, hunger, violence, poverty

Publisher: University of California Press

Death without weeping is an ethnographic study of a town in North-Eastern Brazil. The theme of the book is hunger, child deaths and ‘every day violence’ in Brazil. The work is situated in a town she calls ‘Bom Jesus da mata’ in Pernambuco district of N.E. Brazil. The author visited the place first as a volunteer in 1964, and continued her association with the town ever since. After her training as a cultural Anthropologist, she returned there in 1982 to do extensive-formal ethnographic work on this subject.

The distinction of the book is its coverage of all aspects of hunger and child deaths: economic, structural, cultural, political and sociological. The book begins with extensive chapters on the colonial history of Brazil, slavery, the growth of monoculture, and the consolidation of relatively smaller farms into the massive latifundistas. The chapters are thematically arranged covering symbolic relations of extreme depravation, medicalisation of hunger, child hunger & child care, state violence, etc.

The economic structure of town studied is dominated by sugarcane monoculture, condemning people to low-paying, hard and seasonal work. The impact of poverty was exacerbated by various cultural practices, specially that of child-feeding and child-rearing. This combined with poor public facilities such as water, health and sanitation resulted in high infant mortality in the region. The book is not so much about the relation between poverty, sanitation or health to hunger and child deaths. It is more an inquiry into the nature of social relations that has produced these conditions in the first place. The book is grounded in materialist as well as symbolic frameworks, but draws widely from other theories and fields.

An aspect I like about the book is that it’s written in the first person, and the philosophical underpinning is transparent. Information was drawn by a variety of methods including participant observation, interviews, secondary literature, collection of data, etc. All through the book, the source of information is clearly presented. For example, she discusses the difficulty of getting reliable figures on infant mortality. Her sources included hospital records, coffin makers, office issuing death certificates, interviews with parents, etc. Such a divergent exercise in itself is indicative of absence of reliable data. The reader is thus always aware of the nature of information, and its interpretative significance.

The data, quotes and her thoughts are neatly interlaced in the text with various theoretical premises. At the same time, she avoids locating all her analysis in one theory, calling them reductionism. Through beautiful illustrations Schepper-Huges brings alive Foucault, Gramsci, Josué de Castro, Marx, Sartre and a host of other ‘left leaning’ thinkers. Many incur her wrath as well – Talcot Parsons in particular.

Death Without Weeping has invited its share of controversies since its publication. Her depiction of poor Nordestino mothers taking child death with emotional ease (read by many as coldly) has been condemned by many, and ‘disproved’ by subsequent ethnographers. Though I had heard of that criticism before I started on the book, I did not find her depiction ‘cold’ since it was totally clear through the book that she was empathetic of the people she had worked with.

In terms of methods, representation, writing style, and the underlying philosophy I would give full marks to the author. The book is grounded in experience and offers an insight in the various dimensions of hunger. The footnotes and bibliographies are very detailed, and cover the best of literature in all the areas that she covers in the book. That combined with a lucid style makes it a wonderful reading.

Papers and Reports I was involved in

The right to food has been my main academic preoccupation so far. The following are some of my pieces (many co-authored) on various themes surrounding the issue.
Citizens’ Initiative for the Rights of Children Under Six. 2006. Focus on children under six. Delhi: Circus.
This report looks at the status of children under six, and the […]

Comparing Google Scholar and specialised bibliographic search engines

Google scholar and specialized bibliography services like Econlit and JSTOR seem to have different strengths and should be used in different ways
I started using Google Scholar with a vengeance when it started. It has an ease that other providers do not: there is no need to log in, there is no need for subscription […]

Bibliography of Institutional Economics (downloadable)

This bibliography covers most of the recent and classic works in institutional economics. I’ve included some reviews in the book review section. My other bibliographies can be seen under the bibliography category.
Abraham, Anita, and Jean-Philippe Platteau. 2004. Participatory development: Where culture creeps in. In .
Acemoglu, Daron. 2005. Politics and economics in weak and strong states. […]

Wordnet lexical database in Hindi

I had written a note about using wordnet lexical database that could be used in content analysis.  I just stumbled on a lexical database in Hindi.  I am yet to try it, but am excited that such a tool is available in an Indian language, specially when I am planing a media study with a […]

Using Wordnet lexical database with content analysis software

A tool to generate conceptually related set of words for content analysis
Wordnet is a lexical database maintained by Princeton university.  It is described as:
“WordNet® is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a […]

NVivo: Useful content analysis tool

NVivo

Rating: 4 out of 5

I started using NVivo – a qualitative research and content analysis software - last year when I worked on a content analysis project. NVivo’s purposes are simple - it allows us to assemble different documents (including pictures) and code them. The codes can be arranged in a hierarchy or individually. While most coding is manual, some of it can be automated (see below). The best part of NVivo is that it allows us to review contents carrying a particular code with ease.

For example, I was looking at newspaper articles on contracting and wanted to know what were the range of ‘negative’ opinions about the topic across 200 articles. After I had coded some passages that contained the ‘negative’ view I could just ask NVivo to retrieve just those sentences of paragraphs. If I cannot make sense of a particular sentence in the result, I could by a click of a button ask it to fetch me the associated paragraph or the whole article. Though the task is simple, it makes the coding process so much more easy. Apart from retrieving passages coded with a particular code, I can also ask it to retrieve parts that have two or three specific codes that overlap (e.g. negative stories from Indian newspapers). Finally, I can ask it to create ‘assay tables’ for specific parameters for some quantitative analysis (basically tabulation, but one could attempt fancier analysis as well).

Brief note on autocoding with NVivo

Autocoding is a challenge with textual data that a lot of people are trying to get around. As of today, I do not know of a reliable system that would do the work for us without getting into a lot of coding. So NVivo’s autocoding is quite primitive. What it can do is to find certain strings across hundreds of documents and associate codes with it. If we have defined the data well, we can ask it to code certain sets of documents (e.g. only Indian newspapers, not American newspaper). I found it very productive to use it along with Wordnet of Princeton University (http://wordnet.princeton.edu). Wordnet enables us to create sets of words related to a word of interest e.g. ‘anger’. Apart from synonyms, it will create a list of associated words and forms of these words which can enable us to capture the notion in a variety of forms across hundreds of documents.





NOTE: These are machine translated

 

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