Power in modernity: a discussion among Mark Haugaard, Clarissa Hayward, and Jonathan G. Heaney of<i>Power in Modernity: agency relations and the creative destruction of the King’s two bodies</i>, by Isaac Ariail Reed, with a reply by Isaac Reed
Bibliographic record
Abstract
In this article, Haugaard, Hayward and Heaney discuss Reed’s Power in Modernity, and the author replies. The exchanges centres on the question of whether power relations should be theorized via Reed’s concepts of rector, actor, other, and project, and on the roles of performance agency in power’s exercise. The contributors discuss several examples of political crises in modernity, including the storming of the U.S. Capitol on 6 January 2021.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.039 |
| Scholarly communication | 0.011 | 0.020 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.013 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 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".