Bibliographic record
Abstract
The paper analyses the research data on religiousness collected at different periods in Serbia and former Yugoslavia. The aim of the paper is to point to the tendencies in religious practice and the expansion of religiousness among young people in different periods, as well as individual psychological factors of religiousness. The data shows that the number of young people who declare themselves religious has increased significantly in the last 15 years, compared to the period of a quarter of century ago. In addition to the revival of tradition as an answer to social crisis and uncertainty which affects young people most, the increase in religiousness is connected to certain forms of social democratization as well as it being socially desirable. The data on social-demographic correlates of religiousness shows that the degree of religiousness varies depending on the age, gender, social background and education level. However, the more recent research data shows that these differences have become smaller which indicates a certain homogenization among young people. Religiousness is consistently and positively connected to authoritarianism, conformism and intolerance, while certain changes have occurred in regard to its connection with desirable social values. Similar to the tendency observed in other research on values the data on factors and correlates of religiousness, especially among young people, point to a specific value relativism and confused values.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".