Exploring the implications of the relationship between BMI and household consumptions for countries in transition
Bibliographic record
Abstract
Abstract This article explores the relationship between body mass index (BMI) and social status, namely household consumption and university education of the respondents, together with a set of demographics of 27 transitional countries in Eastern Europe using the data of the 2016 Life in Transition Survey. The two‐stage least squares (2SLS) estimations are conducted on the full sample of 27 countries, the sub‐datasets of former Soviet Union republics, as well as other Eastern European transitional countries, males and females, respectively, in an effort to compare the relationships between BMI and social status in different contexts. The results highlighted two important findings: First, household consumption has a strong and positive correlation with BMI across all the sub‐datasets. Second, the father's education of the respondent is a strong predictor in predicting low BMI. These findings indicate that these transitional countries still run the same model as that typical developing countries, 25 years after the beginning of the transition.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".