Notice bibliographique
Résumé
As we write, the United States, Canada, and Mexico are meeting in Washington, D.C. to renegotiate the North American Free Trade Agreement (NAFTA). These talks—and their possible failure—represent the biggest shift in U.S. economic policy in a generation. Since NAFTA came into force in 1994, it has transformed the North American economy. NAFTA has made possible continent-wide supply chains, in industries like the auto sector, that have reduced costs and allowed American automakers to remain competitive; it has opened markets for American agriculture; it has greatly increased the standard of living in Mexico; and it has reduced consumer prices across the continent. Despite these gains, President Trump has repeatedly threatened to pull the United States out of NAFTA if he cannot get a deal that is “fair” for American workers. These repeated threats, coupled with aggressive U.S. government proposals to roll back liberalization in NAFTA 2.0, have sent the Canadian and Mexican governments and the U.S. business community searching for new policy ideas to save free trade.\nRestoring Trade’s Social Contract answers this call by proposing a financial transaction tax (FTT) in NAFTA and future trade agreements. The tax, no more than .1% of the value of securities or currency sales within the free trade area, would raise revenue to fund an expansion of adjustment assistance for workers who are displaced due to trade liberalization. An Economic Development Chapter in NAFTA and future trade agreements would mandate that this revenue be spent on expanded domestic trade adjustment assistance programs, such retraining, relocation assistance, and infrastructure investment.\nOur proposed tax would thus directly harness the wealth-creating potential of trade agreements and explicitly tie funding for adjustment assistance to major financial institutions, the parties benefitting the most from trade agreements. In so doing, it would restore what we term the social contract of trade—a bargain whereby trade liberalization occurs in a way that ensures that the least well off among us are, at a minimum, not harmed. Despite its huge contributions to poverty reduction and increased human welfare since World War II, trade liberalization has contributed to significant job losses, leading to economic calamity and social disruption in industrial heartlands from the mid-Western United States to Manchester, England and Wallonia, Belgium. These economic losses, in turn, have spurred the political backlash that now threatens the international economic order. Securing the long-term benefits of trade liberalization for ourselves and our fellow citizens—making free trade politically sustainable—thus requires including in trade law itself measures to address these significant costs. With NAFTA talks ongoing and the United States debating tax reform, the time is right for an FTT dedicated to expanded adjustment assistance.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,014 | 0,023 |
| Communication savante | 0,017 | 0,012 |
| Science ouverte | 0,002 | 0,011 |
| Intégrité de la recherche | 0,010 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,020 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».