Bibliographic record
Abstract
Abstract The need for gender recognition is widespread, even when hypervisibility and other effects of trans antagonism make that need dangerous for trans people. This reason partially accounts for why, in trans critique, recognition is a dirty word. As a political aim, and to some extent as a moral norm, trans critiques encourage dropping recognition. On the other hand, social philosophers often view recognition as a solution to misrecognition and take recognition to be a remedy for injustice. In my view, recognition should neither be dropped nor held as a foundational norm for trans emancipation. First, I present three ways trans recognition is ambivalent. Second, evaluating Axel Honneth's observations about the entwinement of recognition and domination, I argue that recognition is an ambivalent norm for trans critique and struggle. Third, I propose studying trans recognitive practices (rather than recognition in abstract) and I illuminate what might set trans/t4t recognition acts apart from their cis-grounded analogues, centering the roles of the body and space/place as resources of trans/t4t recognitive practices, and how such practices focus on the subject's change and becoming over their identification.
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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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.090 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.005 | 0.012 |
| 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".