From the peaks and back: mapping the emotions of trans-Himalayan children education migration journeys in Kathmandu, Nepal
Bibliographic record
Abstract
This paper explores how children who have migrated to Kathmandu from Trans-Himalayan regions of Nepal experience conditions of emotional disconnect in the process of migration-for-education. Using a child-centred methodology, I review children’s feelings of fear and moments of joy as they prepare to leave home at a young age. This paper depicts the heavily emotional journeys to Kathmandu, often done by foot and limited ground transport. I then explore how children experience educational integration in an urban boarding school. From many years of separation, the paper shows how children are often emotionally disconnected from their mountainous homelands. I show how disconnection creates complicated feelings, and I highlight children’s affective articulations of ‘return’, and their lived experiences of homecoming. In mapping the emotive realities of children, the paper also reminds the reader how the researcher’s own positionality needs to be reflexively critiqued when doing child-centred research on the emotions of migration.
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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 | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".