The Queer Politics of Migration: Reflections on “Illegality” and Incorrigibility
Bibliographic record
Abstract
The most resounding expression of the truly unprecedented mobilizations of migrants throughout the United States in 2006 was a mass proclamation of collective defiance: ¡Aquí Estamos, y No Nos Vamos! [Here we are, and we're not leaving!]. This same slogan was commonly accompanied by a still more forcefully incorrigible rejoinder: ¡Y Si Nos Sacan, Nos Regresamos! [... and if they throw us out, we'll come right back!]. It is quite striking and, as this essay contends, not merely provocative but genuinely productive to note the affinity between the crucial articulation of this radically open-ended politics of migrant presence with the similarly abject and profoundly destabilizing politics of queer presence. In a manner remarkably analogous to the slogan, "We're here, we're queer, get used to it!", the dynamic enunciation of these phrases in the context of the mass mobilizations of migrants asserted an irreducible spirit of irreverence and disaffection for state power. Both gestures unreservedly and unapologetically assert not only their irreversible presence, furthermore, but also uphold the intractable challenge of their own intrinsic incorrigibility.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.095 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 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".