Political Participation in the Risk Society: The Italian Case
Bibliographic record
Abstract
The risk society has profoundly changed our way of life. Among the social phenomena most affected by its effects is undoubtedly political participation and the degree of trust in institutions. This work aims, through the construction of two different indices, to answer the question “How does the risk society influence conventional participation and trust in institutions?”. The Indagine Multiscopo sulle famiglie and the Benessere Equo Sostenibile surveys provide a complete set of indicators to assess specific aspects of Italian daily life and well-being. This work uses a series of data from these surveys to analyze political participation and trust in institutions in Italy in 2019 at regional level using two composite indices obtained through the application of the MPI method. The result of this paper shows no particular effects of the risk society on conventional forms of political participation. Instead, the effects of the risk society are fully visible on levels of trust in institutions.
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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 | 0.002 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".