Bibliographic record
Abstract
Three different releases of the SSH Open Marketplace are planned during the SSHOC project. The three corresponding milestones (MS42, 43 and 44) ensure the progress and the coherence of the various tasks contributing to the creation of the SSH Open Marketplace. MS 43 “Marketplace - beta release” is the second one and is described as following in SSHOC Grant Agreement: “Marketplace implementing core functionality, deployed in an operational environment, populated with an extended set of data, open to the whole community to use and participate”. This MS report describes the different aspects of SSHOC Work Package 7 activities that contributed to achieve this milestone. The public instance of the SSH Open Marketplace - accessible at marketplace.sshopencloud.eu - was released at the end of December 2020, and the communication followed mid-January 2021. MS43 was initially described in the SSHOC Grant Agreement as follows: “Fully functional Marketplace, open to the whole community to use and participate”. To refine the description and to adapt it to the work performed in WP7 over the course of 2020, a suggestion for changes is included in SSHOC 2nd amendment to the Grant Agreement. The updated means of verification for MS43 is the following: “Marketplace implementing core functionality, deployed in an operational environment, populated with an extended set of data, open to the whole community to use and participate.”
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.278 | 0.326 |
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".