Bibliographic record
Abstract
This course surveys the cultural, ethnic/national, and socio-demographic variables ( and related political and economic factors) shaping the contemporary world and their impact on international relations. Topics to be covered include the recent emergence of politicized ethnic and other parochial loyalties around the world, including post-colonial states in Asia and Africa. Also included is the impact of post-Cold War developments on the revival of ethnicity and nationalism around the globe. Related theories and perspectives that explain the recent revival of ethnic, racial, religious, and linguistic differences will also be briefly explored. Furthermore, the course will explore in greater detail a few important cases, where ethnicity and nationalism have been salient politically. These include, Quebec, South Africa, the former Yugoslavia, "Kurdistan" (Iraq and Turkey), Ukraine, and South Sudan. The 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. That is, each has been affected by post-Cold War developments. (3) Contrast: Canada and South Africa have so far managed issues related to their multiculturalism in a civil way. However, in the remaining cases ("Kurdistan," the former Yugoslavia, Ukraine, and South Sudan), ethnic/national conflicts have been violent and the prevailing ethnic/cultural divide has resulted in problems of mammoth proportions. Students will also have the opportunity to explore additional cases in-depth through student• led research ... The cases will be assigned to groups of three students, who will each conduct detailed study on the nature, evolution, causes, dynamics, actors, and attempted resolution mechanisms in each. In summary, this course surveys national and ethnic identities around the globe and their impact on the human condition. The instructor hopes that, by the end of the semester, each student will have developed a heightened interest in the study of the politics of cultural pluralism, and an appreciation of the extent to which ethnicity and other cultural cleavages have become salient since the end of the Cold War.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.034 | 0.003 |
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".