Poems from the Diaspora: An Armenian Odyssey | Poesie dalla Diaspora: un’odissea armena
Bibliographic record
Abstract
A bilingual collection of Italian translated poems on Armenian-themed topics penned by Armenian-Canadian Diaspora author and emeritus professor Alan Whitehorn. The poems deal with the 1915 Armenian Genocide, travels though Armenia, Armenian society and politics, the Nagorno Karabakh wars of the 1990s and 2020s, Diaspora identity issues, the continued vexing problem of genocide along with its denial, and the ongoing existential challenges facing Armenians, both in Armenia itself and in the Diaspora. Poems selected for the Italian volume are primarily drawn from Whitehorn’s previously published books: Ancestral Voices, Just Poems, Return to Armenia and Karabakh Diary. The poetry translations were led by Sona Haroutyunian, associate professor of Armenian and Translation Studies at Ca’ Foscari University Venice.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".