Maintaining Philanthropy: The Greek Alexandrian Institutions after the Exodus of the Early 1960s
Bibliographic record
Abstract
The departure of most Greeks from Egypt at the beginning of the 1960s raised questions in the community about how it should readjust its presence at an institutional level. This article examines how the Greek Koinotēta of Alexandria (GKA) operated as both a local and diasporic institution in periods of contraction, in terms of size and finances, and analyzes the adjustment policies it undertook concerning its institutional property and real estate. Despite the community’s demographic shrinkage in the 1960s and 1970s, the GKA was assigned its role as the value keeper and moral guide for the children of the community through its educational institutions and orphanages, having the support of the Greek representatives, in this case the consular authorities. Even though the GKA faced serious financial difficulties in the 1960s, it strived to find strategies of adaptation to maintain its agency and social, political and economic capital.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| 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; 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".