Roots and Routes: Road from Home to America, Middle East and Diaspora, about Being Armenian Genocide Female Survivor
Bibliographic record
Abstract
Adolf Hitler, on August 22, 1939 stated, “I have given orders to my Death Units to exterminate without mercy or pity men, women, and children belonging to the Polish-speaking race. It is only in this manner that we can acquire the vital territory which we need. After all, who remembers today the extermination of the Armenians?” (Kherdian, 1979).Armenia is a land which has been ravaged by war on far too many occasions. Other nations keep turning it into a battlefield and tearing it apart. Armenian people have survived for many generations and their stories are told and retold during the hard winters. Armenians’ survived just as Armenia and Armenian culture have survived (Downing, 1972). Therefore, diverse life experience, traditions, histories, values, world views, and perspectives of the diverse cultural groups make up a society and preserve culture (Mendoza and Reese, 2001).In this study, two Armenian books “The Road from Home” and “The Knock at the Door” were analyzed. These books are organized as personal stories and experiences about Armenian female genocide survivors and are supplemented by background information on Armenian people before and after the genocide of their culture, including a brief history, discussion of traditions, recipes, music and religion. These stories are a great resource for educators, historians, students, and anyone interested in Armenian culture. That is culture is an historical process of humanity that preserves identity and ties the people together. Additionally, culture is the link between people and their value systems. Therefore, Norms and values addressed in stories are important factors that give continuity to cultures (Stephens, 1992).
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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 | 0.002 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".