Bibliographic record
Abstract
Vladimir Putin, who was catapulted into the Kremlin following Boris Yeltsin's resignation, was elected President on March 26, 2000 by a solid majority that embraced his military campaign in Chechnya.Parties backing Putin did well in the December 1999 Duma election, giving Putin a stable parliamentary majority as well.Putin has moved to strengthen the central government vis-a-vis regional leaders, to bring TV and radio under tighter state control, and to modernize the armed forces.Federal forces have suppressed large-scale military resistance in Chechnya, but face the prospect of prolonged guerilla warfare.The economic upturn that began in 1999 is continuing.The GDP and domestic investment are growing after a decade-long decline, inflation is contained, the budget is balanced, and the ruble is stable.Major problems remain: one third of the population live below the official poverty line, foreign investment is very low, crime, corruption, capital flight, and unemployment remain high.Putin appears to seek simultaneously to tighten political control, introduce economic reforms, get major debt forgiveness, and strengthen the military.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.588 | 0.588 |
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".