The Location of Comparative Advantages on the Basis of Fundamentals Only
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
Nous détectons les avantages comparatifs au Canada et en Europe à partir des éléments fondamentaux d'une économie : les dotations, les technologies et les préférences. Par la programmation linéaire, en utilisant les tableaux entrée-sortie et un algorithme servant à imposer l'équilibre de la balance commerciale, nous déterminons l'allocation optimale des ressources, qui sous-tend les échanges optimaux. Le Canada a un avantage comparatif par rapport à l'Europe dans les miéraux, la machineries, les vêtements et les chaussures. Les gains à l'échange sont minimes pour la grande économie, l'Europe,0501s substantiels pour le petit pays, le Canada. La structure des avantages comparatifs persiste quand nous permettons le libre choix entre les technologies et les préférences des deux pays. Les dotations ressortent donc comme étant le facteur déterminant de la structure des avantages comparatifs.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it