OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Science and technology studies, Scholarly communication, Open science
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: none
- Teacher disagreement score
- 0.897
- Threshold uncertainty score
- 0.999
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.242 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
In May 2021, Microsoft announced that it was discontinuing support for Microsoft Academic Graph, a free and widely-used Scientific Knowledge Graph (SKG). This was met with considerable concern, as MAG was viewed as difficult to replace with existing systems. The OpenAlex project was created to address this concern. It launched as a drop-in replacement for MAG contemporaneously with MAG’s retirement on January 1st 2022. Although still in its nascency, as a fully-open (100% open data, open API, open-source code) source of scholarly metadata, OpenAlex has potential to improve the transparency of research evaluation, navigation, representation, and discovery, adding to the growing list of other open and partly-open SKGs such as OpenCitations, AMiner, PID Graph, Open Research Knowledge Graph, Semantic Scholar, and the OpenAIRE research graph.
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.
The record
- Venue
- Zenodo (CERN European Organization for Nuclear Research)
- Topic
- Advanced Graph Neural Networks
- Field
- Computer Science
- Canadian institutions
- OpenAlex
- Funders
- not available
- Keywords
- Transparency (behavior)Microsoft excelOpen dataSemantic WebIndex (typography)Graph
- Has abstract in OpenAlex
- yes