Public access to information and the creation of an ‘information commons’
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
Abstract Intellectual property (IP) and intellectual property rights (IPRs) have increased in social, political, and economic importance in North America over the past two decades. There has been much talk of how we have, or are currently in the process of shifting to, an ‘information economy’ and an ‘information society’; and indeed, ‘information’ has become an increasingly valuable property, in the form of books, music, motion pictures, and corporate logos and designs. The major holders of this valuable IP have worked hard to have the laws protecting IPRs strengthened, with various consequences for public accessibility. The first part of this paper begins with a brief definition of copyright and a description of just what copyright was originally designed to protect. The second part of this paper focuses on the alternatives to copyright that are being developed in the digital realm, particularly for computer software and the Internet. As part of the battles that are currently being fought over control of this relatively new and somewhat unregulated medium of distribution, we will focus on the ‘open source’ software movement and the attempts to create ‘information commons’ that act to ensure the widest possible public accessibility to information.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.027 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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