Bibliographic record
Abstract
West Asian region is known for the presence of the Arab oil-rich countries. In the post-Second World War, Arab–Israeli conflict was one of the major international issues of the world. This Arab–Israel region of the West Asia was under the British control. Britain failed to handle the conflict and handed it over to the newly formed United Nations (UN) and through the UN mediation, the state of Israel was created in 1948. All the major powers of the world got involved in one way or other in the process of creation of the state of Israel in the midst of the Arab countries. Canada as a member of the UN Special Committee on Palestine (UNSCOP) became involved in the West Asian region. In the post-Second World War period, Canada had virtually no commercial or strategic interests in any countries of the region. Now Canada works closely with its network of diplomatic missions across the region to promote and defend Canadian values and interests and strengthen development and trade cooperation with a range of government, private sector and civil society partners, as well as regional organizations. The West Asian region—the Arab countries and Israel—is one of the areas where merchandise trade as well as arms trade is a significant area of interest of Canada. This article discusses Canada’s involvement in West Asia since the creation of the state of Israel. Canada supported Israel and their relations are multifaceted and have been enhanced in recent years through increased cooperation in several areas, including arms trade, investment and innovation. Canada has also many trade agreements including the arms trade to West Asian Arab countries. This article shows various issues of Canada and West Asia trade relations, particularly arms trade with Israel and other West Asia Arab countries, which has more of a political orientation rather than an economic one.
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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 | 0.001 | 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 | 0.012 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 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".