Experiences matter: A longitudinal study of individual-level sources of declining social trust in the United States
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 US has experienced a substantial decline in social trust in recent decades. Surprisingly few studies analyze whether individual-level explanations can account for this decrease. We use three-wave panel data from the General Social Survey (2006-2014) to study the effects of four possible individual-level sources of changes in social trust: job loss, social ties, income, and confidence in political institutions. Findings from fixed-effects linear regression models suggest that all but social ties matter. We then use 1973-2018 GSS data to predict trust based on observed values for unemployment, confidence in institutions, and satisfaction with income, versus an alternative counterfactual scenario in which the values of those three predictors are held constant at their mean levels in the early 1970s. Predicted values from these two scenarios differ substantially, suggesting that decreasing confidence in institutions and increasing unemployment scarring may explain about half of the observed decline in US social trust.
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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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.010 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it