Globalization and the Politics of Culture: An Interview with Imre Szeman
Bibliographic record
Abstract
What is the role of culture in an era of globalization? This is one of the questions that animates the work of Imre Szeman, founder of the Canadian Association of Cultural Studies and Canada Research Chair in Cultural Studies at the University of Alberta. Szeman's thinking combines a strong appreciation of the critical potential of cultural studies work with an understanding of the importance of Marxist theory, especially at this critical moment in human history. With the end of national culture as a framework for progress in the arts, culture becomes increasingly tied to the new master narrative, he says, of the traumas of globalization. As culture's agenda is increasingly set by the operations of global capital, it becomes imperative, he argues, to create an imaginative vocabulary that can challenge biocapitalism's fantasy of endless accumulation. While globalization democratizes the imagination, creating new identities and new public spheres, for Szeman, it simultaneously shifts our focus away from culture – the predominant aesthetic and representational condition of postmodernism – towards macropolitical issues. In this context, he says, class struggle reasserts itself, political economy returns with a vengeance, and even the immanent aesthetic of workerist theory seems to pale in comparison with the transcendent mediation of radical contestation.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.019 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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".