The politics of the limit : European identity, the Denmark cartoon debate and the development of new discursive communities in the online world
Bibliographic record
Abstract
With increasing cultural, ethnic and religious heterogeneity in European populations, new challenges are being posed to the "European Project" as its focus shifts from economic and juridical integration to social integration. In the wake of these challenges, traditional notions of European Identity and Europe's aspirations towards building a pluralistic society have increasingly come under attack. These tensions are exemplified through a number of struggles, including debates on the Islamic headscarf, and Turkey's pending accession to the European Union. This thesis examines one challenge facing Europe through a critical discourse analysis of weblog entries related to the September 30, 2005 publication of 12 cartoons depicting the Prophet Muhammad in Denmark's Jyllands-Posten newspaper. Central to this examination is a critique, of the modem, Habermasian concepts of republican citizenship and deliberative democracy, through Michel Foucault's work on power and knowledge. This study looks at how online discursive communities resist and challenge "Europe's" identity as well as its historical and contemporary construction of Islam and Muslims as its inherently violent, pre-modem oppositional "Other". This is carried out by examining the limits of tolerance and intolerance, selfhood and otherness, and finally, essentialism and de-essentialism.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.032 |
| Scholarly communication | 0.026 | 0.009 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".