Bibliographic record
Abstract
يهدف هذا البحث إلى دراسة الحج والحجاج بشكل جغرافي بدولة كندا، عن طريق تتبع مراحل دخول الإسلام بها، وعدد رحلات الحج من كندا إلى مكة المكرمة، وتطور أعداد الحجاج خلال الخمس سنوات الأخيرة، ومناقشة العوامل الطبيعية والآثار الاقتصادية والثقافية على الحج والحجاج، والوقوف على مستقبل الحج والحجاج في دولة كندا. خرجت الدراسة بعدة نتائج وتوصيات من شأنها دعم تطوير واحتياجات الحج والحجاج القادمين من دولة كندا، والتي من أهمها التخطيط لزيادة أعداد الحجاج القادمين من دولة كندا والشركات والمنظمة لرحلات الحج، وتأثر الحجاج الكنديين دينيا وفكريًا بشكل إيجابي مما يساهم بدورهم في نقل ونشر الإسلام في بلدهم الأم بعد موسم الحج، ضرورة زيادة التنسيق والتخطيط بين دولة كندا والمملكة العربية السعودية وعقد الاتفاقيات والشراكات الدولية التي من شأنها تطوير وتنسيق قدوم الحجاج من دولة كندا، وأهمية تفعيل الجانب الاقتصادي عن طريق موسم الحج والحجاج كنمط سياحي ديني يهدف إلى تنويع مصادر الدخل الاقتصادية للدولة، تتمثل في قضاء الشعائر الدينية والاستفادة الاقتصادية. Abstract This research aims to study Hajj and pilgrims geographically in Canada, by tracing the stages of entering Islam there, the number of pilgrimage trips from Canada to Makkah Al-Mukarramah, the development of the number of pilgrims during the last five years, and discussing natural factors and economic and cultural effects on Hajj and pilgrims, and determining the future of Hajj and pilgrims in Canada. The study came out with several results and recommendations that would support the development and needs of Hajj and pilgrims coming from the State of Canada, the most important of which is planning to increase the number of pilgrims coming from the State of Canada and companies organizing Hajj trips, and the Canadian pilgrims were positively affected religiously and intellectually, which in turn contributes to the transmission and spread of Islam in their home country. After the Hajj season, the necessity of increasing coordination and planning between the State of Canada and the Kingdom of Saudi Arabia and concluding international agreements and partnerships that would develop and coordinate the arrival of pilgrims from the State of Canada, and the importance of activating the economic aspect through the Hajj and pilgrims’ season as a religious tourism pattern aimed at diversifying the country’s economic sources of income. In spending religious rites and economic benefit.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.194 | 0.196 |
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".