Election and Development in Federal Nepal: Perspective of APF in Election Security
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Free and fair elections are the elements that contribute in strengthening the democracy. They are more important for the fragile democracies like Nepal. The new constitution promulgated in 2015 by Constituent Assembly led the country to federal state. Elections of all three tiers of government were to be held within two years from the date of promulgation. The constitution granted a number of tasks to be performed by local bodies for the development of the country. Elections and development are interrelated and connected. Elections elect candidates and those candidates are the vehicle of development. But the first year passed by without doing much and later government had to execute the task within the period of eight months. Local elections were planned and held in three phases due to security reason, whereas, provincial and federal elections were completed in two phases. All security forces mobilized in duty performed their duty well and elections went on peacefully except some petty incident in some parts of the country.
 This article is centered on the security provision of election and a long-term security plan. It needs to be prioritized by the government, as the security situation deteriorates further each day. Anti-election elements, agitating groups attempting to achieve their rights, lack of law and order, and banditry are just some of the security challenges Nepal is currently facing, and affects the ability to hold free and fair elections. Consequently, security is integral and inseparable part of an election and electoral process. The study concluded that the security agencies were proactive, capable of providing security to the political leaders, candidates and voters perform their functions effectively and peacefully during legislative elections 2017.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it