An Open Access Approach to Scientific Information Management at the Agricultural Research Corporation
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: This article presents the experience of the Brazilian Agricultural Research Corporation (Embrapa) – a large state-owned company that plays an important global role in research, development, and innovation for tropical agriculture – in the planning and implementation of Open Access to scientific information in the context of a developing country. The aim of this initiative is to provide the necessary mechanisms to capture, store, organize, preserve, retrieve, and widely disseminate the scientific information produced by Embrapa and by agricultural research communities. This report concludes with a discussion of the obstacles encountered and the organizational features, cultural considerations, and political matters that facilitate open access implementation at Embrapa.
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 | 0.018 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.070 | 0.097 |
| Open science | 0.010 | 0.006 |
| Research integrity | 0.000 | 0.001 |
| 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