The Politics of Recognition at an Impasse? Identity Politics and Democratic Citizenship
Bibliographic record
Abstract
According to several authors, the politics of recognition are at an impasse. The politicization of identity, they claim, relies on a hermetic and essentialist conception of culture. Although this critique hits the target in some specific circumstances, nevertheless it misrepresents the more general process of intercultural mediation triggered by the politics of recognition. That said, the emphasis on the end-state of substantive recognition does seem to lead to an impasse. The struggles for recognition, and the identities that underlie these struggles, are too plural, convoluted and fluid to be theorized as quests for definitive recognition. Thus, identity politics ought also to be seen as agonic games of mutual disclosure which participate in the ongoing reconfiguration of the norms of public recognition inherent in democratic politics.
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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 | 0.017 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.071 |
| Scholarly communication | 0.030 | 0.023 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.009 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".