Are the values of the citizens of the former communist countries similar?
Bibliographic record
Abstract
Comparative research has been one of the basic tendencies characteristic for sociology and other social sciences in the last decades. The comparison of the values of the population from all continents is particularly important in the era of globalization; certainly the greatest contribution and the greatest endeavor so far in that respect has been The World Study of Values by R. Inglehardt and his collaborators. In the last quarter of the century they realized four research "waves', the most recent one at the beginning of this millennium in as many as eighty countries whose population makes 85% of the world population. This magnificent study presented a specific "cultural mapping of the world", and this mapping also confirmed the surprisingly great similarity between the population of the former communist countries on the basis of the comparison with twenty-four variables processed in the factorial-analytical manner. Out of the total of 24 countries in this group including China, in the value area of the coordinate system they were all located near one another, in the quadrant which links two most general values (of the second-level factors) - "the values of poverty" and "the values of the secular-rational authority". The exceptions were Slovenia and Poland the former being inclined toward the developed world and the pole denoting "the values of prosperity" (they are also called "the values of self-expression"), and the latter because of the pronounced religiousness of its population, directed toward the pole denoting "the values of traditional authority". Analyzing also some other data (the Study contains 300 value variables), we confirmed the authors' conclusion about the similarities of values of the citizens from the former communist countries, and the proof for that can be found in some other researches, too. Unfortunately, for the time being the complexity of this determinist knot directs the explanations of the similarities between the values of these countries to the hypothetical domains. Still, it seems that the most plausible explanation is the civilization one which would combine diverse factors: historical economic, social-structural, political and culturological (ethnic religious, linguistic).
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".