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 article presents values of social minimum baskets for the first quarter of 2021. The presented estimates take into account the needs as foreseen in the model under normal conditions of social life – the new circumstances of COVID-19 are not taken into account. There is lack of research data on changes in household consumption in 2020. If there will be a need to change assumptions in the model, the values of social minimum can be recalculated in the future. The first quarter of 2021 has brought quite marked increases in basket values. Compared to the previous survey from Q4 2020, the social minimum increased by 2.4% in the household of a single person and by 2.1% in a 4-person household with two children. Inflation rose by a similar amount (2.1%) over the period. Among the groups of needs with the highest share in the social minimum, the value of food items increased from 2.6% to 2.7%, with the price index in this group at a similar level (2.5%). Expenditure on housing maintenance and energy carriers increased significantly: from 2.3% in 5-person households to 2.7% in 1-person households. The dynamics of these expenditures in the social minimum was lower than the value of the CPI index (3.6%) in this group.
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) | 0.004 | 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