Bibliographic record
Abstract
There is much concern across the Pacific rim about the impact of the Trans-Pacific Partnership (TPP) upon public education. The secretive trade agreement involves a dozen nations across the Pacific, including Australia, New Zealand, Canada and the United States, and Indonesia may soon join. Although the text was finalised at the Atlanta talks in October 2015, the Agreement has not yet been made public. (The NTEU has joined with other unions and civil society organisations in calling for the agreement to be revealed to facilitate public debate before any decisions are made by Parliament.) So whilst we cannot examine all the text that may impact on public educations, WikiLeaks has published the final version of the Intellectual Property Chapter of the TPP. The Intellectual Property Chapter of the TPP alone, with its copyright term extension, limits on copyright exceptions, and enforcement measures, will have a significant impact for educators and public education.
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 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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.016 | 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 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".