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Record W7068543469

Village-life.com

2002· other· en· W7068543469 on OpenAlexaboutno aff

Bibliographic record

VenueCGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 2002
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMachine Learning in Bioinformatics
Canadian institutionsnot available
Fundersnot available
KeywordsRajaGovernment (linguistics)TamilNavyOfficerPlan (archaeology)Position (finance)FishingStress (linguistics)Loudspeaker
DOInot available

Abstract

fetched live from OpenAlex

EVERY morning, Perumal Raja sets off to lay his nets, sitting on a boat made of a few rough-hewn logs lashed together. At first glance it looks like a piece of driftwood. But while his boat may be low-tech, he is armed with information from a thoroughly high-tech source. Unlike the thousands of other Indian fishermen who venture into the Bay of Bengal, Raja knows the latest weather forecasts and wave-height predictions, downloaded from a US Navy website.\n\nRaja lives in Veerinpattinam, a village of a hundred or so brick and palm-leaf houses on the lush coast outside Pondicherry, just south of Chennai (formerly Madras). The people here are partners in an experimental network of village centres that share information via computer. The aim is to show that giving rural people access to information, both local and global, can really make a difference to their lives.\n\nThe information comes from the hub in nearby Villianur. Here, four full-time staff gather information, translate it into Tamil and send it to the villages, each of which has two or three computers. The weather reports are relayed to the fishermen every morning and evening via a loudspeaker perched on the knowledge centre´s roof.\n\nVillagers also go to the centres to find out the going rates for fish, rice and other produce in local markets, as well as what government benefits they´re entitled to and how to tackle crop diseases. They can even find adverts for brides and bridegrooms. "It is very useful for all kinds of things," Raja tells me through an interpreter. "I can find out the times of buses, and how much they cost. If I´m not feeling well, I can call a doctor."\n\nSuch information can save people a lot of time, which is important when you have to work long hours to make ends meet. Half the households here earn less than 1220 rupees (?17.50) a month. The centres also offer computer courses for just 50 rupees a month?about 70 pence. Villagers can also print out letters, say, for just 10 rupees, or surf the Net for 30 rupees a month.\n\nVolunteers have few problems acquiring computer skills. "I knew nothing about computers," says Boobathi Kasthuri, one of eight women volunteers who run the knowledge centre at the nearby farming village of Embalam. "Now I can type and operate them." One of the keys to the network´s success is that although the PCs run Windows in English, the volunteers are taught in Tamil. At a meeting with local government officials, Kasthuri showed them how to type in Tamil script using a QWERTY keyboard. They offered her a job on the spot, but she didn´t have time to take it up.\n\nIn Embalam, the centre was filled with barefooted children. The computers here occupy one room of the Hindu temple, and brightly painted gods look down from above. The teacher, Muthukrishna Reddiar Sunder, uses CD-ROMs to show the children things like cell division and the workings of the heart. "I couldn´t explain these things before," he says. "Now I can show them an animation. It is easy to understand."\n\nIt´s not just education that´s changing. The knowledge centres are challenging the ancient Indian divides of sex and caste. "Three out of the 10 centres were failures," admits Santhanakrishnan Sethilkumaran, a researcher at the M.S. Swaminathan Research Foundation (MSSRF) in Chennai, who helped to set up the project. They failed because they were in buildings owned by high caste families who wouldn´t let people of low caste enter. In Embalam, however, the people chose to devote a room of the temple to the project and allow everyone to enter, even though only high castes are usually allowed into Hindu temples.\n\nMSSRF also wanted women to run the centres, because women are more likely to pass on knowledge to others, especially children. But in a country where many women are not allowed to leave their villages, this idea didn´t always go down well. Two villages insisted that most of the volunteers be men.\nDespite these setbacks, the project is transforming lives. Working at the centres has given the volunteers confidence and earned them the respect of local officials. Now when they visit the local government office, the director sees them straight away and is much more willing to help. There are also plenty of small success stories, from people getting jobs they found out about through the centres, to groups of villagers discovering how to set up cooperatives to raise money for new businesses.\n\nBut could it work elsewhere? Trying to get similar schemes off the ground in less developed countries would be difficult. India has the advantage of a high literacy rate. Yet even in India, where there are 600,000 villages, the problem is finding someone to pay for the centres. The Pondicherry project, which is part-funded by the International Development Research Centre in Canada, was intended only to show that the concept works, says Subbiah Arunachalam, an information scientist at the MSSRF. "Success lies in convincing funding agencies to take it further."\n\nIn northern India, a group called Technology in Action for Rural Development is taking a radically different approach that owes more to McDonalds than to Gandhi. For the past year or so, a branch of TARA called TARAhaat has been setting up franchised knowledge centres called "tarakendras". The organisation is setting up centres around Bathinda in Punjab and Jhansi in Uttar Pradesh. The idea is to make money by selling cheap services to villagers, including computer courses, Internet access and even children´s computer games. "We´re following the ´sachet model´," says Rakesh Kanna, chief operation officer of TARAhaat. When people tried to sell villagers bottles of shampoo for 40 rupees, nobody bought them, he explains. When they sold sachets for 5 rupees, it was a huge success.\n\nTo set up a centre, local people must raise the money, so TARAhaat helps them obtain loans and computers and provides support. The hope is that as centres become profitable, they will provide money for new centres.\n\nIn Punjab on a dry, dusty plain near the village of Lehra Mohabbat, 15-year-old Jagsir Singh creates a PowerPoint presentation at breakneck speed. It´s hard to believe it´s only four months since he first touched a computer. "My family sent me here to learn," he says. The centre is a shop in a small arcade next to a power plant. Getting people to come was a problem, admits Sarjinder Sethi of TARAhaat. Villagers had to be tempted with free sewing classes or movies. But after a year things picked up.\n\nThose who come find it a real confidence builder, Sethi says. "They used to think only city people could learn computers," he says. "Now they can do better than the city people." It has mainly helped girls, Sethi adds. Most could not leave their villages, so the tarakendras opened up a new world to them.\n\nThere is no doubt that information centres are changing people´s lives. In every village, some are benefiting already and, given time, more should gain. And once people get the hang of the Internet, the only limit will be their imaginations. In Pondicherry, some villagers value the centres so much they´ve volunteered to pay some of their costs.\n\nAid agencies and governments are unlikely to be able to fund centres in every village. And it´s doubtful that big bureaucracies can ensure the centres stay responsive to local needs?one reason for their success. By contrast, Tarahaat´s model might just let centres flourish on a grand scale. Not everyone is convinced. While Arunachalam wishes TARAhaat well, he is sceptical. "The business model won´t work," he says. "People in these villages have been poor for too long." Indeed, some of the centres are struggling. Even so, the McDonalds approach seems to offer the best chance yet to bridge the digital divide between rich and poor.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.091
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.339
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2002
Admission routes1
Has abstractyes

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