The Politics of Recognition at an Impasse? Identity Politics and Democratic Citizenship
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it