“On the High Seas with no Place to Land”: The Smyrnaean Inferno and Humanitarian Aid to Armenian and Greek Refugees from Turkey (1922-1923)
Bibliographic record
Abstract
In September 1922, the great fire of Smyrna drove more than 200,000 Armenian and Greek refugees to the wharves of that port city. They had fled to Smyrna to escape the massacres perpetrated by Turkish nationalist troops and now urgently needed humanitarian aid to relocate them to safety in Greece. In this article we examine the actions and the roles of humanitarian workers of the Near East Relief (NER) and the American Women’s Hospitals (AMH) working in Greece among these refugees deported from Smyrna. We highlight the central role of women doctors and nurses in their humanitarian efforts to save this population. Their actions, and the gratitude of their peers and government authorities, solidified their professional status in the context of profound changes to transnational humanitarianism after 1919.
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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 | 0.000 | 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 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".