ICT and Institutional Transformations in the Global South
Bibliographic record
Abstract
At a juncture where various streams questioning the role of ICT in democratic governance have joined, this paper explores how a traditional South Asian institution – the Guthi – is rejuvenated, if not resuscitated, by ICT, especially – but not only – by the Communication aspect, prompted by a cataclysmic event, and also propelled towards global normative priorities. The case came to attention after the major earthquake of 2015 in Nepal. The Guthi, the traditional institution of cooperative self-governance prevalent primarily amongst the Newars of Kathmandu Valley, was in serious decline and the earthquake laid bare the void it had left behind. Leveraging on ICT and following their traditions, the communities put forward the case for their participation in rebuilding efforts. Especially this, but also those possibilities in general, “spun off” new iterations of the Guthi: neo-Guthis, sub-Guthis, and quasi-Guthis. We argue that much of the criticism that is levelled against the Guthi today ignores these and solely focuses on the ancient, guthis. As we put forth, it was the reaction to the demand of the time as well as utilizing the tools available, and even adapting the organization(s) to do so, that enabled the rejuvenation of an indigenous institution.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.020 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".