Shutting Down the Mobile Phone and the Downfall of Nepalese Society, Economy and Politics
Bibliographic record
Abstract
On 1 February 2005, the Kingdom of Nepal cut off all public telecommunication links to the outside world. According to the king, the shutdown in communications was to enable security operations against the Maoist insurgents. Landline and Internet services were restored gradually over the following weeks. But the pre-paid mobile phone service, which was used by the majority of Nepalese, stayed off for the public for 88 days. The shutdown in communications provided the environment for a natural experiment to look at the impact of the mobile phone. Researchers conducted interviews in three regions of Nepal that are taken by the Nepalese as representative of the country. Among those interviewed were politicians, including the then-prime minister, business owners, journalists, as well as military and police officers. The study found that the shutdown in mobile communications had limited success in helping security operations. The insurgents did not trust the mobile phone network and had developed their own parallel communication network. The larger impact was negative: it hurt the economy and alienated large swathes of the public, perhaps even contributing to the downfall of the king. The study suggests that the mobile phone is a social device and that if there is to be any shutdown of the mobile phone service, it should be done only briefly and for very clear security reasons.
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 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 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".