"Uyghurs in the Diaspora in Canada" 2021 Survey Report
Bibliographic record
Abstract
This report presents the results of “The Uyghurs in the Diaspora in Canada” survey. It was conducted between November 2020 and January 2021, by the research team affiliated with the project, Children in Sectarian Religions and State Control at the School of Religious Studies, McGill University.[1] Our aim was to gather information on the Uyghurs who left their Homeland (East Turkestan/Xinjiang) and relocated to Canada. The survey consists of 45 questions that focus on why and how these immigrants came to Canada and what challenges they faced in China. Our respondents numbered 106, and our findings indicate that they were subject to widespread discrimination and oppression in China before emigrating to Canada. Other questions explore their contact with relatives in their Homeland and their level of religiosity since arriving in Canada. Finally, we sought to understand how they are currently attempting to preserve their Uyghur culture and language while living in diaspora. [1]. For further information on the project please visit the following site: Spiritual Childhoods – Children in Minority Religions, http://www.spiritualchildhoods.ca
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".