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
In August 2020, Belarus-a country known for its persistent autocracy and popular quiescence-exploded in mass prodemocracy protests.Following a fraudulent presidential election on August 9, hundreds of thousands took to the streets.The demonstrations posed an unprecedented threat to Alyaksandr Lukashenka, who has ruled Belarus for more than a quarter-century.At the same time, protest leaders have explicitly distinguished their new movement from the "color revolutions" that have taken place in other postcommunist countries.Rather than calling for major changes in geopolitical orientation, as in Ukraine's 2013-14 EuroMaidan, they have focused their demands on free and democratic elections together with a return to the constitutional status quo that existed before Lukashenka.While seeking to overturn a personalist dictatorship, opposition leaders have sought to portray themselves as essentially antirevolutionary.This democratic uprising was the product of both growing popular discontent and Lukashenka's own miscalculations.Lukashenka himself came out of nowhere to win the 1994 presidential election thanks in part to the fact that he was underestimated by the establishment as a country bumpkin.In 2020, he in turn gave a critical opening to his main challenger, Sviatlana Tsikhanouskaya, because he did not take women seriously.Indeed, the first serious challenge to Lukashenka's rule in two decades was directly enabled by misogyny.The emergence of a powerful prodemocratic movement came as a shock.Belarus, which became independent in 1991, has long been considered a pro-Soviet bastion.Its neighbors on three sides are countries-Latvia, Lithuania, Poland, and Ukraine-that hosted powerful anticommunist movements when the Soviet bloc began crumbling in the
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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