Bibliographic record
Abstract
It is argued in this paper that both normative and objective considerations must be taken into consideration in the formulation of tariff policy. Moreover, it is shown that static and partial equilibrium analyses can be disastrously misleading in guiding the framing of tariff policy. Regarding the regional impact of tariffs, it is shown that within a monetary union, interregional trade flows reflect absolute production and transport cost advantages and that the non-realization of perfect domestic mobility of factors of production entails social and private adjustment costs that must be reckoned with in the cost-benefit analysis of any shift in trade policy. From the standpoint of Quebec, a French-speaking political entity, the Canadian trade area is far from being optimal. The tendency for Canadian market-oriented economic activity to polarize in Ontario behind tariff walls, accompanied by a large movement of foreign enterprises, pushes the Quebec economy towards the least attractive and the most vulnerable industries among those oriented towards the Canadian common market. A rationalization of these laggard Quebec industries and an up-grading of resources-oriented economic activity would then benefit from the removal of both Canadian and American tariffs. Among Canadian trade options, therefore, Quebec would potentially benefit most from a gradual move toward a North-American free trade area, with ad hoc measures for certain industries, but should reject the world-wide free trade and unilateral free trade options because of the serious industrial dislocations and factors of production outflows they would create.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".