Crisis migration in sri lanka: analyzing the governance of transnational actors in the context of war and financial crisis
Bibliographic record
Abstract
Crisis migration has become a critical issue in Sri Lanka due to the war and ongoing financial crisis. Drawing from this understanding, the research investigates crisis migration in Sri Lanka through five distinct chapters. The first chapter offers an overview of the entire research. The second chapter examines the evolution of classical humanitarianism and its shift towards new humanitarianism in the context of war in Sri Lanka. It focuses primarily on Tamil refugees in India and their repatriations from India to Sri Lanka. The third chapter examines the transnational spaces of the Tamil diaspora. The chapter elaborates on their involvement in smuggling Tamil refugees to Canada. The fourth chapter discusses labour migration from Sri Lanka to Gulf Cooperation countries, namely Saudi Arabia, United Arab Emirates, Qatar, Bahrain, and Kuwait, during the financial crisis of Sri Lanka. It identifies governance gaps related to trafficking in labour migration. The study is guided by two main questions: (1) How did crisis migrations in Sri Lanka emerge in response to the civil war and the financial crisis? (2) How has the Government of Sri Lanka responded to the involvement of transnational actors in governing crisis migration? The findings highlight the need for cooperation among the Government of Sri Lanka, the United Nations High Commissioner for Refugees, the International Organization for Migration, and the International Labour Organization to govern crisis migration effectively. Both qualitative and quantitative methods are used in the research to examine the questions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".