Bibliographic record
Abstract
RESUMEL’auteur de cet article dresse le portrait du lobby grec a travers le monde, en insistant plus particulierement sur le lobby helleno-americain. Il examine sa structure et son fonctionnement et surtout sa contribution a faire avancer les interets grecs aupres de gouvernements de pays ou s’activent d’importantes communautes grecques. C’est en premier lieu le cas de l’important lobby grec aux Etats-Unis et en second lieu les communautes d’Australie, du Canada et de l’Europe occidentale. L’auteur souligne en particulier la mobilisation de la communaute chypriote de Grande Bretagne en faveur de Chypre et contre l’occupation turque d`une partie de l’ ‘ile.ABSTRACTThe author of this article depicts the Global World Greek Lobby with special reference to the Greek American lobby. The author examines its structure and functioning, and especially its contribution in advancing Greek interests with the governments of countries with large Greek communities. This is mainly the case of the important Greek lobby in the United States and secondarily in other countries, such as Australia, Canada and Western Europe. The author underlines in particular the mobilization of the Cypriot community in Britain against the Turkish occupation of a part of the island.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".