Bibliographic record
Abstract
TheAssociation ofMuslim Social Scientists of NorthAmerica (AMSS) heldits fifth annual Canadian Regional Conference in Waterloo, Ontario, atWilfred Laurier University (WLU) on 21 May 2009. The Muslim StudiesOption Program Committee and the Department of Religion and Culture atWLU cosponsored this event, and Jasmin Zine (WLU) andMeena Sharify-Funk (WLU) were the cochairs. The Tessellate Institute, a CanadianMuslimthink tank, coordinated and cosponsored the keynote panel.The theme, “Nation, Citizenship, and Belonging: Muslim CulturalPolitics in Canada,” brought together academics, emerging scholars, andcommunity activists to explore critical questions about the space in the middlewhere engaged Muslim Canadians stand. In her opening remarks,Sharify-Funk identified that space as being located on an isthmus betweenthe realities of abject discrimination and the potentialities of citizenship. Sheremarked that this conference sought to ask the difficult questions aboutwhetherMuslim Canadians can engage the challenges and move beyond theinternal contradictions that inherently shape Muslim cultural politics ...
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 | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.029 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".