Nations of Joiners: Explaining Voluntary Association Membership in Democratic Societies
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
Levels of voluntary association membership for 33 democratic countries are compared using data from surveys of nationally representative samples of adults from the 1990s. Four explanations of national differences in association involvement are identified and tested: economic development, religious composition, type of polity, and years of continuous democracy. The analyses consider total and working association memberships, both including and excluding unions and religious associations. Americans volunteer at rates above the average for all nations on each measure, but they are often matched and surpassed by those of several other countries, notably the Netherlands, Canada, and a number of Nordic nations, including Iceland, Sweden, and Norway. Hierarchical linear models show that voluntarism tends to be particularly high in nations that have: (1) multidenominational Christian or predominantly Protestant religious compositions, (2) prolonged and continuous experience with democratic institutions, (3) social democratic or liberal democratic political systems, and (4) high levels of economic development. With some exceptions for working memberships, these factors, both separately and in combination, are clearly important predictors of cross-national variation in voluntary association membership.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it