Bibliographic record
Abstract
"Is it OK not to be afraid of losing your country, all your past, all your friends, and to create a new life in a new place?" Civil wars in Africa, the collapse of the central regime in Somalia, genocide in Rwanda, the Persian Gulf war in the Middle East, the collapse of the military regimes in Central America, new ethnic clashes in the former USSR - all these events have resulted in an increased number of displaced people, most of whom never expected to find themselves in such a situation. Their refusal to accept the division of their countries into separate ethnic, religious, or political groups or to participate in dubious political games exacted a heavy price - they lost their homelands and became refugees. These stories show what it means to find yourself a stranger in your homeland and the difficulties to be overcome before you feel at home again. Most importantly, however, these stories tell us about acceptance and the need to bridge differences in language, religion, culture, and traditions. Bullets on the Water makes it clear that most refugees in Canada have an unquestionable belief in the importance of acceptance, tolerance, and respect for difference. Their choice to become refugees was dictated not only by the dynamics of political events but, perhaps even more, by the fact that the culture of animosity, violence, and hatred was completely foreign to them. From the book: "I began to yell my name. This is the only way to announce that you have been arrested or detained and that you might disappear. You have to yell your name, because this is the only way to get this message to an international NGO (non-governmental organization) operating in Guatemala. This desperate gesture worked for many Guatemalans who were detained. In Guatemala itself, there was no information whatsoever about who was arrested and what happened to those in prison." "I did not remember anything. I realized that I was in Yugoslavia. I was transferred to Titograd and later to Belgrade. I spent months in a camp headed by the UN. There I understood what really did happen. Four people were killed. One of them was an eight-year-old child."
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".