A report from the 16th IGPA conference (December 9-11, 2013 -Brussels, Belgium)
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
The 16th annual International Generic Pharmaceutical Alliance (IGPA) conference brought together approximately 200 attendees representing 35 nations. The IGPA consists of generic industry associations from the United States (GPhA), Canada (CGPA), Europe (EGA), Jordan (JAPM), South Africa (NAPM), and Japan (JGA), in addition to observer member organizations from Brazil (PróGenéricos), Mexico (AMEGI) and Taiwan (TGPA). Conference attendees listened to industry experts and participating organization representatives present some of the key issues affecting the generic industry. Nick Haggar (President, EGA) welcomed attendees by highlighting the impact that IGPA and its member alliance associations have on healthcare around the world. The 2-day conference reviewed the trends in 11 different markets, the ongoing trade negotiations between numerous countries and the role generic associations in their respective countries can have in increasing patient access to affordable high-quality medicines.
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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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