Bibliographic record
Abstract
This chapter extends from research on the genealogies of modernist laboratories (aesthetic, scientific, and corporate) and their relationship to the formation of contemporary digital-humanities and new-media laboratories and collaboratories. The trajectory of this project, broadly conceived, leads from the modular principles of early twentieth-century industrial design and avant-garde aesthetics, to the implementation of modular architecture in the construction of mid-century corporate science labs, to the modularization of markup languages, interoperable digital tools, and collaborative and cross-disciplinary lab environments in the late twentieth and early twenty-first centuries. In doing so, I traverse the conjuncture of multiple modularities and disciplinarities—from architecture, art, and industrial design to markup languages, source code, and digital tools—in the historical contexts of cultural, industrial, and postindustrial modernities. Ce chapitre va de la recherche sur les généalogies des laboratoires modernistes (esthétiques, scientifiques et institutionnels) et de leurs relations à la formation des sciences humaines numériques contemporaines et des laboratoires et collaboratoires de nouveaux médias. La trajectoire de ce projet, au sens large, mène des principes modulaires du design industriel du début du vingtième siècle et de l'avant-garde esthétique, à la mise en œuvre de l'architecture modulaire dans la construction des laboratoires scientifiques institutionnels du milieu du siècle, à la construction par modules des langages de balisage, des outils numériques interopérables, et des environnements de laboratoires collaboratifs et pluridisciplinaires de la fin du vingtième siècle et du début du vingt-et-unième siècle. Enfin, je passe par la conjoncture de multiples modularités et disciplinarités, de l'architecture, de l'art, et du design industriel, jusqu'aux langages de balisage, codes source et outils numériques, dans les contextes historiques des modernités culturelles, industrielles et postindustrielles.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.346 | 0.217 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".