MétaCan
Menu
Retour à la cohorte
Enregistrement W277073793 · doi:10.2307/25605314

The Production of Race, Locality, and State: An Anthropology

2006· article· en· W277073793 sur OpenAlex
Gerald M. Sider

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

venuePublié dans une revue dont le pays d'attache est le Canada.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueAnthropologica · 2006
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueHistorical Studies in Central America
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRace (biology)LocalityAnthropologySociologyState (computer science)Production (economics)GeographyGender studiesPhilosophyLinguisticsEconomicsComputer science

Résumé

récupéré en direct d'OpenAlex

PrologueThis article emerges from a confrontation in North Carolina in 2001. The article, which is about Newfoundland as well as North Carolina, is a partial, necessarily unresolved attempt to come terms with that moment, for both its causes and its consequences seem to have very broad implications for an engaged anthropology.To tell even a brief story of the incident in 20011 have to start much earlier. For most of 1967-681 was doing rights organizing in Robeson County, North Carolina-on the swampy interior coastal plain, at the border with South Carolina. Robeson was then a particularly nasty place. It was the second richest rural county in the south, by value of agricultural produce shipped from the county, and at the same time one of the 50 poorest counties in the U.S. by average per capita income. A handful of Whites did very well, a substantial number were moderately well-off, and together they were doing whatever they could to keep it that way, against the interests and well-being of the African American and Native American peoples, who together comprised two-thirds of the county population, and who were, for the most part, desperately poor and hard-pressed.Part of the struggle we were then fighting was for school cafeterias and subsidized lunches, particularly in the rural Black and Indian schools. You could see kids rummaging around in the schoolyard garbage dumpsters in the afternoon looking for food. We involved a writer-photographer from the Charlotte Observer, then the most liberal paper in the state, who came down and took a stunning photograph: a young African American boy, about eight, inside a garbage dumpster, with his head and shoulders showing above the rim, leaning out and passing a clearly half-eaten sandwich to a younger boy, who was standing on his tip-toes, reaching up for the sandwich with an angelic smile on his young face. She published this on the front page of the Sunday edition of the paper, where folks could see it on their way to or from church. It blew the state legislature wide open; we got a lot of important programs from the ruckus it caused.Thirty-four years later, in 2001,1 am still working on issues in Robeson County, if now only episodically. In the previous five years, 8500 mostly African American and Native American women had been put out of work by the passage of the North American Free Trade Act (NAFTA), and the ensuing closure of all the textile assembly cut and stitch mills that moved offshore. These mills had been the largest source of employment in the county, from the early 1970s to the mid-1990s. Before the mills were built, agriculture provided most of the work; very quickly after the mills left, poultry and hog packing became the primary employers, but with a completely different labour force. By 2000 county officials were estimating that there were 12 000-14 000 (as all Spanish-speakers and many other immigrant workers are called) in the county, about three-fourths of them undocumented, and all referred to as illegal Mexicans (for a similar instance see Striffler 2005). They were by very far the predominant workforce in the new poultry- and hog-deconstruction plants, and provided almost all of the seasonal agricultural labour. They were hard run both at work and off; most saving money at little more than minimum wage, and doing so by living packed into substandard housing, along with other severe restrictions on consumption expenses.My current research and engagement in this area focusses on the displacement of African American labour, after they won a modicum of civil rights, by undocumented immigrant workers with very few rights. A senior official in the county's Department of Social Services and a local teacher both took enough interest in my present research to tell me that there were about 70 living in a former chicken coop, telling me where it was, and suggesting I go. I went to see it and indeed there were. …

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 candidatesÉtudes des sciences et des technologies
Catégories consensuellesÉtudes des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,892
Score d'incertitude au seuil0,999

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 technologies0,0020,010
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,025
Tête enseignante GPT0,271
Écart entre enseignants0,246 · 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