Refining legal frameworks for cross-border climate-induced displacement: a comprehensive analysis of provisions, definitions, and new arrangements under international law
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The thesis addresses the urgent and growing issue of displacement driven by climate change. As climate impacts intensify, more individuals are forced to cross borders in search of safety, yet current international legal frameworks are ill-equipped to offer them adequate protection. This research critically examines the existing legal provisions within International Refugee Law (IRL) and International Human Rights Law (IHRL), highlighting their limitations in addressing the unique challenges posed by climate-induced displacement. The thesis explores the inadequacies of current refugee definitions under the 1951 Refugee Convention and the challenges in applying non-refoulement protections to those displaced by environmental factors. It also delves into the terminological ambiguities that plague the discourse, proposing a more coherent and inclusive definition that accurately captures the diverse realities of climate-induced displacement. Building on this analysis, the thesis advocates for significant reforms, including the potential for a new international convention specifically designed to address the legal gaps faced by climate refugees. It emphasizes the need for a comprehensive legal framework that includes state responsibility, effective implementation mechanisms, and robust international cooperation to ensure the protection of vulnerable populations affected by climate change. In summary, this thesis contributes to the ongoing global dialogue on climate-induced displacement by offering a critical evaluation of current legal frameworks and proposing actionable reforms to enhance the protection of those displaced across borders due to climate change.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it