Knowledge Monopolies and Global Academic Publishing
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
On Monday 11 July 2016 Thomson Reuters Corp. announced it had agreed to sell its intellectual property and science business (including Web of Science) to private-equity funds affiliated with Onex Corp. and Baring Private Equity Asia for $3.55 billion in cash. This announcement appeared after the authors submitted together a proposal to the Toronto School conference trying to expand the concept of ‘monopolies of knowledge’ as coined by the Canadian economist Harold Innis. The text presented here includes an abridged version of the proposal, which is currently under review. In this text the authors have also included some further discussion of recent developments as a means to provide further context.
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 | 0.027 | 0.071 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.020 | 0.095 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.009 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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