Bibliographic record
Abstract
La découverte scientifique et la maîtrise de l'électricité ont bouleversé notre société au même titre que l'invention de l'écriture alphabétique durant l'Antiquité et de l'imprimerie à caractères mobiles au XVe siècle. Il ne s'agit pas seulement d'un phénomène naturel mis au service de l'homme par la science, mais d'un élément central de l'épistémè moderne : l'électricité a inspiré des écrivains et des artistes, a servi de force d'impulsion au monde de l'industrie et de l'innovation et a redéfini les comportements sociaux. En explorant l'incidence de l'électricité sur le savoir, les pratiques sociales, les médias, la vie sociale et les expériences personnelles, cet ouvrage tente d'en saisir les aspects techniques et culturels dans toute leur complexité. -- The scientific discovery and mastery of electricity created as many important changes in modern society as did the invention of alphabetical writing in antiquity and movable type in the fifteenth century. It is more than a natural phenomenon that science has harnessed for human use; it is a central feature of the modern episteme. It has inspired writers and artists, propelled industry and innovation, and reshaped human social behaviour. Looking at a variety of topics including film, politics, and contemporary art, this volume explores the impact of electricity on knowledge, social practices, media, community life, and subjective experience.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".