Spatial Distribution Of Iranian Population In Canada: A Portrait Using The 2001 Census Data
Bibliographic record
Abstract
International migrants are confronted with a series of complex regulations related to the departure from their country of origin, their arrival in their country of destination, and the conditions of their residency in the receiving country. A rapidly increasing number of migrants today are Iranians. Major destinations of Iranian migrants are Canada, Australia, the United States, and most European countries. This study will focus on the migration of Iranian to Canada. Iranian (also referred to as Persians) is one of many cultural groups in Canada. The purpose of this article is to understand the number and general situation of Iranian immigrants in Canada, and to provide sound and interesting information to Canadian government officials and to the Iranian public in general. Census data 2001 and custom tabulations (purchased from Statistics Canada) will be used to analysis data. Arc View software will also be used for creating the necessary map and figures. Our finding will enable the researchers to provide policy guidelines for immigration and other officials in Canada. It is also identifying avenues for future research on Iranian-Canadian immigration.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".