Bibliographic record
Abstract
In contrast to rhizomatic youth movements that inspired the ‘Arab spring’ uprisings and the ‘Occupy’ movements, youth political activism in Nepal was orchestrated by hierarchical political parties in part through political student unions. The ability of parties to deploy youth into the streets to enforce general strikes and force election participation has been critical to their success, but focus groups conducted with Nepali students in the spring of 2013 suggest that many youth are withdrawing from party activism. Youth disengagement in Nepal is the product of years of political instability and conflict that has impeded peace and development, rather than a globalizing individualism that is fragmenting traditional institutions. In this paper, I argue that the ability of political parties to mobilize youth in post-conflict Nepal is being challenged by two related conditions. First, the demands of political parties on students for personal sacrifice are weighed by students against their own personal aspirations and, secondly, the inability of the party hierarchies to sacrifice their priorities for greater political stability, development and peace – exemplified by the repeated failure to resolve constitutional issues – made this commitment to personal sacrifice harder to justify.
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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 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".