Bibliographic record
Abstract
In the world today, registered Afghan refugees total approximately 1.6 million with one to two million more living undocumented in border nations like Iran and Pakistan. They are the largest ‘protracted’ refugee population on the Asian continent and have existed in a perpetual state of displacement since the Soviet-Afghan War from late 1970-1980. The status of these refugees in Pakistan today remains steadfastly connected to the concepts of displacement, migration, settlement, and repatriation. This research paper explores how the Afghan refugee crisis evolved within the confines of socio-cultural, political, economic, and historical crises created and imposed by international actors who sought to control it for their own purposes. A major component of finding a solution to the Afghan refugee crisis requires us to move away from the overworked ‘objective’ view of their situation and toward a more subjective identification of their personhood as refugees, and this act pulls into itself the question of how they dealt with and continue to deal with refuge and resettlement in Pakistan. Furthermore, the Afghan refugee crisis is an ongoing global dispute involving human lives that requires much more attention and sincerity than it has received.
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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 | 0.015 | 0.012 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".