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
The year 2020 was one of multiple challenges for India and for the Modi-led Bharatiya Janata Party government. The year began with mass protests against the Citizen (Amendment) Act, which minority Muslims saw as threatening their citizen rights and was widely felt to be unconstitutional, and ended with mass protests by farmers against market-oriented farm reforms. The coronavirus pandemic arrived in January and by the end of the year had caused the world’s second-largest caseload (10.3 million infections) and 149,000 deaths. The government responded with a strict lockdown, resulting in a severe economic contraction, although the economy and foreign investment picked up in the last quarter, buoyed by vaccine hopes and a partial economic recovery. On the foreign front, Chinese incursions in June along the Line of Actual Control, the de facto border, led to a tense standoff that remained unresolved at year-end. Politically, the BJP remained not only entrenched but somewhat further empowered against a weak and divided opposition, with Modi’s popularity ratings high.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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