If Money Talks, What Does It Say? Varieties of Capitalism and Business Financing of Parties
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
Do business contributions to political parties convey different messages in different countries, and, if so, why? This article presents a pioneering cross-national study of firm behavior in political finance. It argues that motivations for contributions to parties are either ideological or pragmatic. The author infers motivation by quantitatively relating the payments of 960 firms to various political parties in Australia, Canada, and Germany over periods of between seven and seventeen years. In coordinated market economy Germany, a small number of firms made ideological payments; in liberal market economy Australia and Canada, large numbers of firms made pragmatic payments. Australia's left-right party system creates an awareness of policy risk, which motivated ideological payments, but in Canada's unusually nonideological party system no ideological bias in business financing of politics was found. The statistical analysis is supplemented by a qualitative investigation of discrete and reciprocal exchanges between businesses and political parties.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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 it