Bibliographic record
Abstract
VANCOUVER –A group of B.C. Sikh students who wore controversial T-shirts to school have sparked a debate within their community and left some wondering why a group of youths would latch onto a divisive movement dating from before they were born. The students showed up to Surrey's Princess Margaret Secondary School earlier this month wearing shirts emblazoned with the word Khalistan, referring to a Sikh separatist movement advocating for a Sikh homeland in India's Punjab region that was often linked to violence in the 1980s. On the back was a quote from Jarnail Singh Bhindranwale, a Khalistan advocate who was killed during India's 1984 raid on the Golden Temple. School administrators told the students not to wear the shirts again. Some have brushed off the T-shirts as youthful rebellion or dismissed the students as naive and uninformed. The teens, however, insist they know the history and wanted to make a statement that would be heard. ‘When people see this, they'll look at it and be like, “Wow, there's people still out there that still believe in this stuff. And it's not just the older generation, it's the youth”,’ one of the boys said last week during a call-in show on a local multicultural radio station. Another student – they didn't provide their names – made it clear the group was, in fact, advocating for an independent Sikh state. ‘We want freedom in Punjab’, he said. Students at Surrey's Princess Margaret High School wear T-shirts some say are controversial, Friday, April 18th, 2008. The Canadian Press. April 27 2008 12:53 PM ET
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.017 | 0.051 |
| Scholarly communication | 0.026 | 0.025 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 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".