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Enregistrement W243468512

The U.S-Mexico Border: A Strategy of Low-Intensity Conflict

2000· article· en· W243468512 sur OpenAlexaboutno aff
Maria Argelia Queralt Jimenez

Notice bibliographique

RevueSocial Justice A Journal of Crime Conflict & World Order · 2000
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLatin American and Latino Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésImmigrationEnforcementNaturalizationLaw enforcementPolitical scienceRestructuringState (computer science)Immigration lawLawPublic administrationCitizenshipPoliticsAlien
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Maria Jimenez, interviewed by Rebecca Phares Could you give our readers a brief introduction to what your job is? The American Friends Service Committee established this particular project in 1987, so it's been around 13 years. The work we do in the areas of the U.S.-Mexico border is with community-based organizations to document human and civil rights violations in the enforcement of immigration laws. For about the first decade, we concentrated on Southern California, southern Arizona, El Paso, and the Rio Grande Valley. Recently, we have been restructuring, and so we are probably going to try to work primarily in the New Mexico and Texas areas of the border because, the way the enforcement strategy has been developed by the INS, most of the flow of undocumented immigrants is going through the State of New Mexico and the State of Texas, as opposed to California and southern Arizona. What are some of the changes that have been made in the last few years with respect to law enforcement at the border? The largest federal law enforcement agency in the country right now is the Immigration and Naturalization Service (INS), with its uniformed branch, the U.S. Border Patrol. It has a budget of four billion dollars and it does joint operations with local [law enforcement] groups, as well as the military. According to studies by the Urban Institute in Washington, D.C., although statistically only four out of 10 undocumented people in the United States cross the southern border (the others come in legally through airports or seaports or at the Canadian border), 85% of the INS/Border Patrol resources aimed at stopping undocumented migration are placed at the U.S.-Mexico border.... Basically, we work in a militarized zone. The strategy carried out in this area by the U.S. Department of Defense and the Border Patrol is really a low-intensity conflict strategy.... When [in May 1997] a young man by the name of Ezequiel Hernandez was shot in Redford, Texas, by U.S. Marines carrying out a covert operation -- we had monitored those types of operations for the last 10 years -- we took a delegation from Redford, Texas, to Washington, and we didn't know who to talk to at the Pentagon. So we asked the Pentagon to tell us whom we should talk to. The delegation wound up actually talking to the Assistant Secretary of Defense in charge of Special Operations and Low Intensity Conflict. So they verified that this is the strategy. One of the changes that we've seen in [recent] years has been increased militarization, which is conceptualized under the low-intensity conflict strategy. The second thing we've seen is the reaction against covert government operations on U.S. soil directed against U.S. communities. We've at least had a change in that the Joint Task Force Six (JTF6, the military unit responsible for Hernandez's death), or the military unit that made these decisions on its own, can no longer do so for covert operations; they have to be approved by the Secretary of Defense. However, this does not eliminate the 14 other types of military operations that still are in the hands of the JTF6 and the Border Patrol. Third, we've seen an enforcement strategy of implementation designed by the Sandia Laboratories in New Mexico for the national drug office, which was enacted by the Border Patrol against immigrants. Their strategy is to make the populated areas of the border like San Diego, El Paso, and Brownsville inaccessible and to oblige the immigrants to attempt to go through the riskier areas of the border, such as the mountains, deserts, or the isolated areas of Texas. That's been a dramatic change. Also, the growth in the use of military equipment -- from infrared vision to all-terrain vehicles -- that has been incorporated into Border Patrol activities. Have these changes caused the number of people who come across the border to decrease? No, it has had no impact on the number of people that are crossing the border. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,065
Score d'incertitude au seuil0,130

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0260,008
Communication savante0,0110,008
Science ouverte0,0020,007
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,029
Tête enseignante GPT0,353
Écart entre enseignants0,324 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations11
Publié2000
Routes d'admission1
Résumé présentoui

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