The Politics of Social Learning: Finance, Institutions, and Pension Reform in the United States and Canada
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
Because the traditional concept of social learning has faced significant criticism in recent years, more analytical work is required to back the claim that the lessons drawn from existing institutional legacies can truly impact policy outcomes. Grounded in the historical institutionalist literature, this article formulates an amended concept of social learning through the analysis of the relationship between finance, social learning, and institutional legacies in the 1990s debate over the reform of earnings‐related pension schemes in the United States and Canada. The article shows how social learning related to specific ideological assumptions and policy legacies in the public and the private sectors has affected policymaking processes. At the theoretical level, this contribution stresses the political construction of learning processes, which is distinct from the technocratic model featured in the traditional literature on social learning. This article also distinguishes between high‐ and low‐profile social learning while emphasizing the impact of private policy legacies on learning processes.
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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 | 0.000 |
| 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 it