Time and the structuring of ritual performance in the xenotransplantation debate
Bibliographic record
Abstract
Advancements in biotechnology provoke fundamental questions about the relationship of humans to the natural world. A crisis arises as the knowledge, practice, and policies concerning biotechnology grow further out of step with each other. This paper examines the role of ritual performance as a means of resolving this crisis, uniting the organic with the socio-moral aspects of science, technology and regulatory policy. Ritual performance is evident in the public discussions of the United States' Secretary's Advisory Committee on Xenotransplantation (SACX). In an attempt to understand the cultural responses to new knowledge, this paper examines the transcripts of several SACX meetings for its ritual elements and references to authority. We find that time is used by scientists to structure ritual performance in a way that guides public policy and attitudes toward xenotransplantation.
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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 | 0.033 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.020 | 0.071 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.006 |
| 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".