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
Belarusian (ISO 639-3 BEL) is an Eastern Slavic language spoken by roughly seven million people in the Republic of Belarus (Zaprudski 2007, Census of the Republic of Belarus 2009), a land-locked country in Eastern Europe, bordered by Russia to the north and east, Ukraine to the south, Poland to the west and Lithuania and Latvia to the northwest (Figure 1). Within the Belarusian language, the two main dialects are North Eastern and South Western (Avanesaǔ et al. 1963, Lapkoǔskaya 2008, Smolskaya 2011). Two additional regional forms of Belarusian can be distinguished: the Middle Belarusian dialectal group, incorporating some features of North Eastern and South Western dialects together with certain characteristics of its own, and the West-Polesian (or Brest-Pinsk) dialectal group. The latter group is more distinct linguistically from the other Belarusian dialects and is in many respects close to the Ukrainian language (Lapkoǔskaya 2008, Smolskaya 2011). The focus of this illustration is Standard Belarusian, which is based on Middle Belarusian speech varieties. For details on the phonetic differences across dialects, the reader is referred to Avanesaǔ et al. (1963) and Lapkoǔskaya (2008).
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 | 0.001 |
| 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