UND to host Model Arab League Conference on Oct. 23-25
Bibliographic record
Abstract
The University of North Dakota will host a Model Arab League (MAL) Conference on Oct. 23-25. The two-and-a-half-day simulation of the Arab League consists of students representing Arab League member countries, drafting resolutions and building coalitions to respond to international crises. Teams from UND, North Dakota State University, Minnesota State University Moorhead, St. Cloud State University and Mount Mary University (Wisconsin) will participate in the event, which is being coordinated by the UND Center for Human Rights and Genocide Studies (CHRGS), in conjunction with Pi Sigma Alpha and the Public Affairs Club, according to UND Political Scientist Brian Urlacher, one of the organizers and a co-director of CHRGS. The MAL Conference is receiving support from the CHRGS, Department of Modern and Classical Languages, the Department of Political Science and Public Administration and the Student Organization Funding Agency (SOFA). Last November, UND hosted a Model United Nations Conference — the first event of its kind at UND. Fifty students from UND, NDSU and the University of Manitoba participated in the event, which simulated the Maidan Protests of 2013-2014 in Ukraine. About MAL: Model Arab League was established in 1983 by the National Council on U.S.-Arab Relations, with a design similar to Model UN, but focusing only on the 22 member states of the Arab League. More than 2,000 students participate in MAL events each year, where they have the opportunity to gain leadership skills and learn about international issues.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.390 | 0.132 |
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".