Book Review - Yochai Benkler, the Wealth of Networks: How Social Production Transforms Markets and Freedom
Bibliographic record
Abstract
Benkler argues that the West is engaged in an escalating culture war between the industrial information economy - a one-way, capital-intensive, and professionally-produced model that has held sway for 150 years - and the networked information economy (NIE) - many-to-many, low-capital, and cooperative model that has been emerging in the last 15 years. The NIE is built on the infrastructure of the internet and is characterized by characterized by (1) non-proprietary strategies, (2) rising non-market production, and (3) more effective, large-scale cooperative efforts, in other words, peer production of information, knowledge, and culture. These aspects challenge our economies and our polities, and hold significant promise for enhancing personal autonomy, however, Benkler, in writing what amounts to a manifesto for the internet, pays little attention to the way in which the NIE is vulnerable to technical capture in the same way the industrial information economy is vulnerable to capital capture, taking a wait-and-see approach to regulatory intervention. Still, Wealth of Networks is a comprehensive and readable survey of the arguments for a commons-based approach to the development of the NIE.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.015 |
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".