Bibliographic record
Abstract
The first issue of volume three of the Journal of the Council for Research on Religion (JCREOR) came out of a colloquium entitled “The Uyghurs in the Diaspora,” which sought to study Uyghurs living in the diaspora in Canada. The event was held virtually on Microsoft Teams on May 31st, 2021, hosted by the McGill School of Religious Studies and JCREOR. The colloquium grew out of the Children in Sectarian Religions Project (http://www.spiritualchildhoods.ca/), which sought to find out how Uyghur parents intended to transmit their religion and unique culture (suppressed in China) to their children after arriving in Canada. The research team, prior to and during the pandemic, conducted interviews and collected data that was presented and discussed during the colloquium. The articles presented in this issue were generated from the interviews and data collected during the project's investigation of Uyghurs in the Diaspora. The data and research presented in each of the articles provides further insight into the daily lives of Uyghurs both prior to the early 2000s and at present.
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 | 0.005 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.246 | 0.177 |
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".