Bibliographic record
Abstract
Over the years, the number of those known as "climate refugees" has only increased in an uncontrolled way, and scientists warn that it will continue to do so, until reaching numbers as alarming as 200 million by the year 2050. Even though several years have passed since the first time they were heard of, and that today it is a problem that cannot be denied, currently they still do not have any legal framework that protects and recognizes them. However, certain countries are beginning to make history with some individual laws, or sentences that can mark a before and after. This work focuses on analysing the reason for this legal vacuum, as well as what are the causes that lead that these people have to move from their homes, and all the consequences that this carry, such as commit a crime or ending up in the hands of terrorist groups. We will review which are the most affected countries, and which ones contribute the most, either directly or indirectly, to these displacements, as well as the numbers over time, and we will analyse the actual progress of some countries related to the matter in hand.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads agree on what is shown here.
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".