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Record W243468512

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

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

Bibliographic record

VenueSocial Justice A Journal of Crime Conflict & World Order · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEnforcementNaturalizationLaw enforcementPolitical scienceRestructuringState (computer science)Immigration lawLawPublic administrationCitizenshipPoliticsAlien
DOInot available

Abstract

fetched live from 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. …

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.353
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueSocial Justice A Journal of Crime Conflict & World OrderSame topicLatin American and Latino StudiesFrench-language works237,207