Bibliographic record
Abstract
Risk undermining public health and must be modified In late 2013 the European Commission published proposals to harmonise elements of existing national legislation on trade secrets.1 These will shortly be debated in the European parliament but, in their present form, they have created serious concerns among non-governmental organisations concerned with health policy.2 Strengthening protection against disclosure of trade secrets is the most recent step in a process whereby multinational corporations have increasingly sought to commodify knowledge. Thus, the drug industry has lobbied to strengthen the protection given to it by the patent system—for example, by persuading governments to increase the duration of protection for so called orphan drugs3 and using international trade negotiations to enable it to claim rights in previously unprotected markets such as India. A diverse range of industries has exploited the opportunities provided by transfer pricing, whereby operations selling a trademarked commodity in one country pay large sums to another part of the same corporation based in a low tax jurisdiction for the right to use the brand name and associated imagery.4 The arguments in favour of such arrangements are well rehearsed. Patent law gives corporations rights over intellectual property …
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.009 |
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 teacher head, 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".