Bibliographic record
Abstract
The United States and Lebanon continue to enjoy good relations.Prominent current issues between the United States and Lebanon include progress toward a Lebanon-Israel peace treaty, U.S. aid to Lebanon, and Lebanon's capacity to stop Hizballah militia attacks on Israel.The United States supports Lebanon's independence and favored the end of Israeli and Syrian occupation of parts of Lebanon.Israel withdrew from southern Lebanon on May 23, 2000, and three recent withdrawals have reduced the Syrian military presence from 30,000 to 16,000.A large Lebanese-American community follows U.S.-Lebanon relations closely.Presidents Eisenhower and Reagan said the United States had "vital" interests in Lebanon, but others might describe U.S. interests in Lebanon as less than vital.At the invitation of the Lebanese government, the United States intervened in Lebanon to defend Lebanese sovereignty in 1958 and 1982.In a Beirut terror bombing in October 1983, 241 U.S. armed forces personnel died.From 1987 until July 1997, the United States banned travel to Lebanon because of the threat of kidnaping and dangers from the ongoing civil war.
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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 | 0.002 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.489 | 0.454 |
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".