Bibliographic record
Abstract
في الساعة الرابعة من صباح يوم 30 مارس 1867 تم توقيع اتفاقية بين روسيا والولايات المتحدة باعت بمقتضاها روسيا منطقة ألاسکا Alaska إلى الولايات المتحدة مقابل 7,200,000 دولار،وبموجب هذه الصفقة حصلت الولايات المتحدة على أراضي تقدر مساحتها ب 1,518,800 کـم2،وهي ثاني أکبر صفقة من حيث المساحة تعقدها الولايات المتحدة بعد صفقة شراء لوزيانا Louisianaمن فرنسا عام 1803،وإن کانت صفقة شراء ألاسکا أول صفقة تعقدها الولايات المتحدة لأراضي غير متصلة بها،وخارج النطاق الإقليمي لأراضيها حيث کانت تفصل ألاسکا عن الولايات المتحدة کولومبيا البريطانية(في کندا حاليا). ويتناول هذا البحث اکتشاف روسيا ألاسکا، ووضعها تحت الحکم الروسي، وحدودها، ودوافع روسيا لبيعها، والعوامل التي دفعت الولايات المتحدة لشرائها، واتفاقية بيعها، والآثار، والنتائج التي ترتبت عليها؟ The research investigates the U.S. purchase of Alaska territory from Russia in 1867 for $7,200,000. The Alaska Purchase is the second-largest deal in terms of area the United States has ever made after the purchase of Louisiana from France in 1803. However, the Purchase of Alaska was the first U.S. deal for a disconnected land, outside the territorial scope of its land, where Alaska was separated from the United States of British Columbia (present-day Canada). The purchase added 1,518,800 square kilometers of land to the United States. The present research reviews Russia's discovery of Alaska, its status under the Russian rule, and its borders. Moreover, the research investigates Russia's motives for selling it and the factors that prompted the United States to purchase it. Furthermore, it examines the agreement to sell it, as well as its effects and consequence
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.160 | 0.109 |
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".