Bibliographic record
Abstract
One of the key concepts in autonomist Marxism is the ‘general intellect’. As capitalism develops, labour and its products become increasingly ‘immaterial’, inasmuch as the physical side of production is taken over by automated systems. The result is that all aspects of the collective worker's affective, desiring and cognitive capabilities are now brought to bear on production itself. This problematises capitalistic notions of proprietary control, because it raises the possibility that the mass ‘cognitive worker’, and the inherently co-operative principles it embodies, can detach itself from neoliberal mechanisms of subsumption and valorisation and lay the foundation for a new communalistic ethos. What is intriguing is that several autonomists evoke the work of Mikhail Bakhtin vis-à-vis the ‘general intellect’. Bakhtin did maintain that dialogism is an irreducibly collective phenomenon, and that we all contribute to the continuous making and remaking of language. We do not ‘own’ the words we use; as such, meaning is necessarily plural and heterogeneous, the product of the interaction of many texts and voices that can only be pragmatically and contingently unified. The present article seeks to explore the connection between Bakhtin and autonomism, focusing on the insight that communication is always ‘more than myself’, and hence integral to the ‘social brain’ that is a shared legacy, our ‘commonwealth’. It also raises the possibility of a more ‘troublesome’ Bakhtin than is generally countenanced by the liberal academy, and a concomitantly ‘dangerous’ dialogism that haunts a digitalised and networked world marked in equal measure by tremendous emancipatory promise and catastrophic threat.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.019 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".