Samuelson’s<i>operationally meaningful theorems</i>: reflections of E. B. Wilson’s methodological attitude
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Bibliographic record
Abstract
This paper sheds new light on Samuelson’s early methodology as presented in his Foundations of Economic Analysis (1947) by reflecting on the similarity between his mathematical economics and Edwin B. Wilson’s mathematics. Wilson was Samuelson’s professor of advanced mathematical and statistical economics; he was also a protégé of Josiah Willard Gibbs. Wilson defined mathematics as a language that consisted of three interconnected aspects: postulational, axiomatic, and operational. In his Foundations, in a Wilsonian style, Samuelson wrote in the opening page, ‘Mathematics is a Language’ and claimed that he offered operationally meaningful theorems. In this paper, it is argued that these maxims embodied Wilson’s approach, which framed Samuelson’s mathematical and statistical thinking around 1940 and which led him to present his work as being mathematically, theoretically, and empirically well founded. Wilson’s and Percy Bridgman’s operational methodologies are also compared and Wilson is presented as a mediator between Bridgman and Samuelson.
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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 | 0.012 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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