Bibliographic record
Abstract
Israeli-U.S. relations are an important factor in U.S. policy in the Middle East, and Congress has placed considerable importance on the maintenance of a close and supportive relationship.The main vehicle for expressing support for Israel has been foreign aid; Israel currently receives about $3 billion per year in economic and military grants, refugee settlement assistance, and other aid.Congress has monitored the aid issue closely along with other issues in bilateral relations, and its concerns have affected Administration's policies.U.S.-Israeli relations have evolved from an initial American policy of sympathy and support for the creation of a Jewish homeland in 1948 to an unusual partnership that links a small but militarily powerful Israel, dependent on the United States for its economic and military strength, with the U.S. superpower trying to balance competing interests in the region.Some in the United States question the levels of aid and general commitment to Israel, and argue that a U.S. bias toward Israel operates at the expense of improved U.S. relations with various Arab states.Others maintain that democratic Israel is a strategic ally, and that U.S. relations with Israel strengthens the U.S. presence in the Middle East.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.521 | 0.486 |
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; the direct Gemma label and the distilled Codex classifier 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".