Bibliographic record
Abstract
Since modern times, human activity has significantly altered the earth’s physical and biological composition to such an extent that scientists have now renamed our current time the Anthropocene (Lewis and Maslin, Nature 519:171–180, 2015). Such a designation exposes the arbitrary boundary between the natural and social world. Large-scale social phenomena and injustices such as deforestation, mass agriculture, slavery, and brutal conquests now permanently mark planet Earth’s living and non-living components. Such events are enacted within assemblages of material and discursive components that have a history and ‘life’ of their own. This essay argues for dissolving the boundaries between ‘natural’ and ‘social’, human and non-human, and discursive and material, so as to fuse the natural and social commons (Hardt and Negri, Multitude: War and Democracy in the Age of Empire [Penguin, 2004]; Commonwealth [Harvard University Press, 2009])—the purpose of which is to create critical, activist spaces in education, integral to the exercising of biopower via the (re)production of subjectivities. Using Deleuze and Guattari’s assemblage theory and a short series of diagrams, we attempt to provoke reconfigurations of the material and social world.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.053 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".