Where Economics and Philosophy Meet
Bibliographic record
Abstract
Although Adam Smith's 1776 Wealth of Nations is often cited as marking the birth of economics, it was really not until after the second world war that economics became the distinctive, more or less unified, and largely separate discipline summarised in the textbooks of today.Even a mere fifty years ago, it was possible for the intelligent reader to move with relative ease between economics on the one hand and political economy, sociology and social theory, psychology and philosophy on the other.This is now no longer the case, and most young economists are taught to think of their discipline, not primarily in terms of the particular 'economic' social phenomena it was once taken to be about, but as a sophisticated and largely self-contained analytical approach to the investigation of social phenomena of any kind.Even so, economics has never been able to separate itself entirely from its sister disciplines, even at the high tide of mathematical economics and positivism during the 1970s and 1980s, and many of the most active new areas in economics currently involve some form of boundary crossing (e.g.experimental economics, neuroeconomics and computational economics to name just three).With respect to the philosophy of economics in particular, the last fifty years or so have seen a steady expansion in scholarly investigation into different connections between economics and philosophy, with the emergence of new journals, professional associations, research networks and the like.There has been a great deal of work on epistemological questions in the wake of the decline of positivism, on boundary issues and the question of whether or not economics constitutes a science, and on the rhetoric of economics, ethics, value and, latterly, the ontology of economics (Hands, 2001).It is against this background that, in 2004, three of us published the Elgar Companion to Economics and Philosophy (Davis, Marciano and Runde, 2004, henceforth the Companion), an edited collection aimed at documenting the current state of play in three important areas of the philosophy of economics:1. Political economy as political philosophy;2. The methodology and epistemology of economics; and 3. Social ontology and the ontology of economics.The various authors represented in the volume were chosen on the basis of their having made distinctive contributions in these general areas, and they were asked, not only to survey the state of the field as they saw it, but also provide statements of their own positions and their perspectives on the field in question and its possible direction of development in the future.Imposed upon them, therefore, was the need both to mine the philosophical subject matter of economics and also to stand back from it to assess it in a manner that would do justice to the complex interrelations that exist between these different points of access as they saw them at the time.In effect, then, the authors were asked to anticipate the volume's appearance and its reviews, and were thus the first voice in the dialogue recorded below.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".