Bibliographic record
Abstract
The dislocations associated with modernity have driven scholarly, literary, and philosophical inquiries in various directions since the 19th century: Marx's materialist critique, Ranke's historical empiricism, Baudelaire'sflâneur, Simmel's studies of urban anomie and alienation, Durkheim and Weber's sociology, and so on into the 20th and 21st centuries, and now reflected in this issue ofIJMESon queer studies. Although there are vast differences among them, they share a compulsion to explain what appeared as massive reconfigurations of time and space. The proliferation of subjective possibilities was pegged to an acceleration of the former and compression of the latter; accordingly, on our radar appear the bourgeois, middle class, and worker in the long 19th century and gay, lesbian, and transgender in the late 20th, two moments of rapid globalization and subject proliferation. We are to believe that in the fullness of time all will be free and all will be good. However, in the here and now some must be unfree and some bad. The modern distinction between free and unfree, good and bad, subjects relies heavily on uninterrogated assumptions about the spatial origins, temporality, and trajectory of modernity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".