SSHOC D1.3 First Annual Progress & Activity Report
Bibliographic record
Abstract
This deliverable is the first annual progress report for the SSHOC project, and as such, one of three planned progress reports to be delivered during the project lifetime. It states the progress and status of work in the first year of the SSHOC project (M1-M12). The information gathered here will be updated after six months, (and thus form the official EC periodic report); the next progress report will follow in 2021. The report starts with a general plan for the SSHOC project in Year 1 (2019), and lists the main objectives set up to be achieved. The main part of this deliverable follows activities described in chapters which go into details about highlights and achievements on the level of each Work Package and on the level of Tasks, with notes on deviations from the DoA. The final chapter contains the summary on the delivery of project outputs (namely deliverables), achievement of project milestones, use of resources, and risks met in the Year 1 across all Work Packages. This progress report, and the two that will follow at the end of each project year, form the basis for more extended reporting to the European Commission and provide overview and further improvements to the ongoing work.
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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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.175 | 0.262 |
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".