Bibliographic record
Abstract
Nepali social work has Western liberal roots and traditions that impose cultural imperialism, professional sectarianism, and political colonization. There is a mismatch between what is taught in social work education programs in Nepal and Nepali culture. Further, this borrowed social work concept is out of step with the structural problems that Nepali people face on a daily basis, such as casteism, ethnocentrism, poverty, and exclusion. In this study, being inclined to critical pedagogy and decolonization discourse, I argue that Nepali social workers should emphasize and engage in decolonizing social work practice in Nepal. It must listen to the voice of the people at the grassroots and engage in ‘people-centred development’ to address structural problems perpetuating injustice and inequality in Nepal.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.057 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.001 | 0.024 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".