International symposium on performance science 2021
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
This Research Topic is associated with <a href="https://performancescience.org/isps-2021/">ISPS 2021</a>, convening in Montreal, Canada on 27-30 October 2021.<br/><br/>To submit an article, the corresponding author must be a registered presenter at ISPS 2021 and the full manuscript should be submitted for peer review before 31 March 2021.<br/>It is not required to submit an abstract for this article collection, as all papers will have to go through the conference submission portal. <br/><br/>Research Topic articles will be published immediately once accepted in the journal. The ISPS 2021 Research Topic replaces the Proceedings of the International Symposium on Performance Science. Published articles from all previous ISPS are freely available at <a href="https://performancescience.org/">www.performancescience.org</a>.<br/><br/><i>Please note that the Topic Editors are not accepting abstract submissions to this Research Topic</i>
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it