Bibliographic record
Abstract
The decade after 1964 witnessed two major cataclysmic conflicts—the June War in 1967 and the October War in 1973. Since 1964, American and Soviet influence in the Middle East was growing while the conflict between Israel and its Arab neighbors deepened, leading to June War in 1967 and the subsequent three-year Israeli-Arab stalemate. As the Socialist Camp and Free World lined up behind the Arab side and Israel, respectively, in the June War, the global Cold War superimposed itself on the preexisting regional conflict. Until the fall of 1970, superpower antagonism supported local actors in buttressing the Israeli-Arab stalemate. Egypt’s decision to seek a unilateral arrangement with Israel in late 1970 required the prior weakening of Soviet influence in the region. Thus, while Middle Eastern countries had enticed the superpowers to permeate the region in the second half of the 1960s, one of regional actors—Egypt—took active steps to push one of the hegemons and, in the process, the Cold War out of the region again. When Cairo was unable to engage Washington diplomatically, it decided to go to war in October 1973 to force the Middle East conflict onto the American agenda.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".