Bibliographic record
Abstract
Societies are still, now, indubitably, in the middle of a major sanitary and health crisis, all over. If April 2020 was a time of local lockdown in Asia, Europe and the Americas, it is expanding globally, and countries that are unable or unwilling to manage the spread of the disease are putting their health system as well as their social and economic activities under pressure, without ignoring the heavy toll on human populations. The impact of the Sars-CoV-2 and the resulting disease for humans is already tremendous, above 3 percent of GDP for the first quarter of 2020 and above 15 or 20 percent for the whole current year. According to the World Trade Organization (WTO 2020) the decline of global trade is reckoned between 13 and 32 % (OECD 2020).
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.
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 | 0.047 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.045 |
| Scholarly communication | 0.029 | 0.027 |
| Open science | 0.004 | 0.020 |
| Research integrity | 0.016 | 0.035 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".