Polanyi’s discovery of society and the digital phase of the industrial revolution
Bibliographic record
Abstract
Polanyi’s (1957 [1944]) The Great Transformation stands as a towering analysis of the industrial revolution and a powerful social warning against social and natural damage driven by the pursuit of maximal economic value. Polanyi envisioned that the ‘discovery of society’, due to its radical neglect during the industrial revolution, led to this new social knowledge resulting in the end of laissez-faire and the self-regulating market. Yet, the most recent phase of the industrial revolution, the digital phase, suggests that many of the same failures to manage industrial revolutions are occurring again. In particular, looking at the emerging digital economy through the prism of Polanyi’s social theory, this article argues that the changes driven by the digital economy, specifically in terms of the reshaping of attention and sociality and the increasing potential for ‘normal catastrophes’, suggests that Polanyi’s lesson of the destructive power of the self-regulating market is again being neglected.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.034 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".