Bibliographic record
Abstract
Radical uncertainty is a concept currently debated, for example, in the economics literature to theorize the impossibility of foreseeing the outcomes of scientific and technological development work. The purpose of this study is to extend the concept to articulate and theorize the minute-to-minute transactions in scientific laboratories. Empirical materials resulting from five years of ethnographic work in one laboratory focusing on fish vision are used to show how scientists produce a material continuity between some natural phenomena and the way they are represented in scientific discourse. Because the outcomes of scientists' actions (i.e., observations) sometimes turn out to be uncertain, the material (practical) actions that produce this continuity themselves retroactively become uncertain. Scientists may at any one point determine that what they had done is not what they thought and said to have done. Actions and the objects they produce therefore stand in a dialectical relationship: they produce, mutually presuppose, and in their respective materiality, stabilize one another.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.103 | 0.140 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.011 | 0.087 |
| Scholarly communication | 0.019 | 0.029 |
| Open science | 0.004 | 0.021 |
| Research integrity | 0.007 | 0.009 |
| 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".