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Enregistrement W4379624534 · doi:10.1353/iur.2014.a838565

Focus: The workers scorecard on NAFTA

2014· article· en· W4379624534 sur OpenAlex

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Notice bibliographique

RevueInternational Union Rights · 2014
Typearticle
Langueen
DomaineHealth Professions
ThématiqueEmployment and Welfare Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFactory (object-oriented programming)PopulationBusinessPolitical scienceEconomic growthSociologyEconomics

Résumé

récupéré en direct d'OpenAlex

INTERNATIONAL union rights Page 7 Volume 21 Issue 3 2014 The promises of profits from increased investment and freer markets were kept. But the promises of jobs and benefits for working people were not electronics, apparel and other goods moved to Mexico, and job losses piled up in the United States, especially in the Midwest where those products used to be made”. In a 2006 report Scott said those deficits “displaced production that supported 1,015,291 US jobs since NAFTA took effect”. In the last few decades Detroit lost half its population as the auto industry left, and today every engine in a Ford comes from Mexico. Huge swathes of other industrial cities have acquired that abandoned look that comes with boarded-up homes and storefronts. But the working families who lost those outsourced jobs didn’t disappear. Instead, hundreds of thousands of people began an internal migration within the US larger than the dustbowl displacement of the 1930s. Former machinists and factory workers went on the road, got jobs in fast food restaurants, or lost their families and began living on the streets. Fear of losing a job is never far from any worker ’s mind, but in some industries fear has become terror. Employers bent on lowering wages or cancelling health care plans quickly learned to use NAFTA to inspire that fear. In 1997 (three years after NAFTA went into effect) Cornell professor Kate Bronfenbrenner found that one out of every ten employers facing a union drive said they’d move to Mexico. ‘At ITT Automotive in Michigan’, she reported, ‘the company parked 13 flat-bed tractor-trailers loaded with shrink-wrapped production equipment in front of the plant for the duration of the campaign with large hot-pink signs posted on the side which read ‘Mexico Transfer Job’’. By 2009 a second report, No Holds Barred, found that 57 percent of employers facing a union election threatened to close their worksite. During the NAFTA period, US wages have remained virtually flat. While factors beyond NAFTA (such as the falling rate of unionisation) had an impact, NAFTA and subsequent trade agreements clearly contributed to it. “Production workers’ wages have suffered in the United States”, says Scott. In his 2006 study he found “there is a nationwide loss of $7.6 billion in wage premiums that would have been earned had trade been balanced”. Jeff Faux, former director of the Economic Policy Institute adds simply, “NAFTA strengthened the ability of US employers to force workers to accept lower wages and benefits”. AFL-CIO President Richard Trumka called NAFTA “only the first in a series of trade agreements that have undermined millions of middleclass American jobs and weakened our democratic structures. So it is ironic”, he said, “that this year the supporters of that failed model are bringing forward a fast track trade promotion bill to bring us more of the same: more trade deals I n 1986, a provision of the Immigration Reform and Control Act created a commission to investigate the causes of Mexican migration to the US. When it made its report to Congress in 1992 it found, unsurprisingly, that the biggest was poverty. It recommended the negotiation of a free trade agreement, modelled on the one that had been implemented a few years before between the US and Canada. The commission argued that opening the border to the flow of goods and capital (but not people) would, in the long run, produce jobs and rising income in Mexico, even if, in the short run, it led to some job loss and displacement. The negotiation of the North American Free Trade Agreement began within months. When completed, it was sold to the public by its promoters on both sides of the border as a migration -preventing device. During the debate executives of companies belonging to USA•NAFTA, the agreement’s corporate lobbyist, walked the halls of Congress, wearing red, white and blue neckties. They made extravagant claims that US exports to Mexico would account for 100,000 jobs in its first year alone. Some sceptics warned that the agreement would put downward pressure on wages and encourage attacks on unions, because its purpose was to create...

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,698
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,378
Écart entre enseignants0,342 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle