DIPL 2101 AB Ethnopolitical Landscapes
Bibliographic record
Abstract
This course surveys the politics of cultural and ethnic pluralism/diversity, understood in terms of the plurality or diversity of cultural, linguistic, religious and other socio-demographic variables that are shaping the contemporary world, and their impact on the international system and the practice of international relations. The course focuses on the salient issues that have taken center stage in the modern world, and deals with general issues related to the rise of politicized ethnicity and other cultural cleavages around the world. This includes examination of the possible factors that contributed to the rise of ethnic, religious,linguistic and other parochial attachments, and the accompanying political meanings they assume. In addition, theories that purport to explain ethnic group solidarities will be briefly explained. Towards the end of the semester, formulas for accommodation of cultural pluralism in multi-ethnic societies will be explored. Furthermore,the course will cover some important cases in greater detail. These cases include, Quebec, the former Yugoslavia,"Kurdistan" (Iraq), and South Sudan. These cases have been selected for various reasons, including: (1) Representativeness: taken together, the cases are broadly representative of current ethno-nationalist currents around the world. (2) Currency: each case may be understood in the context of the emerging New World Order and global governance following the end of the Cold War. (3) Contrast: Quebec (Canada) has so far managed issues related to its multiculturalism in a civil way. However, in the remaining cases -- Kurdistan, the former Yugoslavia, and South Sudan -- ethnic/national conflicts have been violent and the prevailing cultural divide have resulted in problems of mammoth proportions. Students will also have the opportunity to explore additional cases in-depth through student-led research of different cases. These cases will be assigned to groups of three students, who will together, as a group, conduct detailed study on the nature, evolution,causes, dynamics, actors, and attempted resolution mechanisms in each of the cases. To this end, this course surveys national and ethnic identities around the globe and their impact on the human condition. The instructor hopes that, by the time the course topics are covered, each student will have developed a heightened interest in the study of cultural pluralism and an appreciation of the extent to which ethnicity and nationalism have become salient in national and international politics at the beginning of the 21rt century. The course will conclude with student PowerPoint (PPT) presentation of research findings.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.142 | 0.015 |
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".