Legal Pluralism and Science and Technology Studies: Exploring Sources of the Legal Pluriverse
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In introducing the contributions to this special section, we explore the links between social and juridical concepts of normativity and science and technology. We follow the Legal Pluralism challenge to the notion of state law as the sole source of normative order and point to how technological transformation creates a pluralistic legal universe that takes on new shapes under conditions of globalization. We promote a science and technology studies (STS)-inspired reworking of Legal Pluralism and suggest expanding the portfolio of legally effective regimes of ordering to include the normativity generated by materiality and technology. This normativity is amply demonstrated in the case studies included in the papers which make up this special section. We conclude that the inclusion of approaches developed in STS research helps analytically to overcome what we view as an incomplete law project, one unable to deal with the technicized lifeworlds of a global modernity. The contributions to this special section illustrate that technomaterial change cannot be understood without recognition of the role of normative impacts, and conversely, the legal pluriverse cannot be understood without recognition of the normative role of techno-material arrangements.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.011 | 0.078 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it