Proposal for International Recognition, Support and Cooperation with the Internet Clearinghouse on the Three Rs (Altweb)
Bibliographic record
Abstract
This presentation will focus on the establishment and current international scope of Altweb, the clearinghouse of resources and information about the Three Rs. The need for an international central reference point was established by the European Centre for the Validation of Alternative Methods workshop number 25, which was followed by the development and implementation of Altweb through a Project Team. The growth of the Project Team to include representatives from several European countries and Canada, in addition to widespread support in the USA, and the Project Team's role in shaping this important resource will be discussed, as well as the role Altweb will continue to play in spurring the development of information resources on the Three Rs at an international level. Ways of encouraging use and reducing redundancy with other information providers are explored. A proposal will be introduced to initiate annual meetings in the field of information resources.
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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 | 0.033 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.024 | 0.011 |
| Insufficient payload (model declined to judge) | 0.032 | 0.015 |
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".