Bruno Latour’s<i>Science Is Politics By Other Means</i>: Between Politics and Ontology
Bibliographic record
Abstract
Abstract “Science Is Politics By Other Means” (SIPBOM) was coined in The Pasteurization of France, Latour’s 1984 empirical study of the birth of microbiology. Yet, it encapsulates an outstanding political theory of science that Latour has never formalized and that has remained unnoticed to this day. The theory is comprised of two dimensions. The first one is the ontological labor performed by science, that is, the laboratory production of new nonhumans. The second one is the ability of science to devise and implement novel policies targeted at the new beings it produces. These “other means” are incorporated in political projects and contribute to the shaping of society. Fifteen years later, Latour published Politics of Nature ([1999] 2004), a full-blown political treatise equally devoted to the political character of science. It would be mistaken, however, to assume that it falls in the same SIPBOM paradigm as the Pasteur study. The compositionist theory it offers redefines politics as the institution of the nonhumans that make up external reality, a task that has traditionally been monopolized by Science. In this sense, “science is politics by other means” has become “politics is science by other means,” these “other means” now referring to “cosmopolitics,” that is, the due process advocated by compositionism. The first claim of the present paper is that the respective weight ascribed to politics and ontology is different in The Pasteurization of France and in Politics of Nature. The second claim is that compositionism is not as successful as Latour’s early theory to account for the politicity of science.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".