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
Companion website: http://www.nyupress.org/fap Yesterday's battles over internet turf were fought on the net itself: today's battles are fought in government committees, in Congress, on the stock exchange, and in the marketplace. What was once an experimental ground for electronic commerce is now the hottest part of our economic infrastructure. In From Anarchy to Power, Wendy Grossman explores the new dispensation on the net and tackles the questions that trouble every online user: How vulnerable are the internet and world wide web to malicious cyber hackers? What are the limits of privacy online? How real is internet addiction and to what extent is the news media responsible for this phenomenon? Are women and minorities at a disadvantage in cyberspace? How is the increasing power of big business changing internet culture? We learn about the political economy of the internet including issues of copyright law, corporate control and cryptography legislation. Throughout the book the emphasis is on the international dimensions of the net, focusing on privacy and censorship in the United States, Europe and Canada and the hitherto ignored contributions of other countries in the development of the net. Entertaining and informative From Anarchy to Power is required reading for anyone who wants to know where the new digital economy is heading
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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