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Record W2038893155 · doi:10.1080/08865655.2012.751729

The Impact of Post-9/11 US Policy on the California–Baja California Border Region

2013· article· en· W2038893155 on OpenAlexvenueno aff
Ana Marleny Bustamante

Bibliographic record

VenueJournal of Borderlands Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
FundersU.S. Department of Homeland Security
KeywordsBorder SecurityHomeland securityTerrorismHomelandSecurity policyPolitical sciencePerceptionGeographyPublic administrationComputer securityPoliticsPsychologyLaw

Abstract

fetched live from OpenAlex

This paper explores the post-9/11 2001 US security measures and the impact of evolving border security policy on the lives of the residents of the California–Baja California region a decade after the 9/11 terrorist attacks. It also considers the perceptions of the border people about this policy. It shows the results of qualitative fieldwork aimed at answering questions related to the main changes brought about at the border with the new policy initiatives, the effect of the creation of the US Department of Homeland Security (DHS) on the functioning and dynamics of the ports of entry, the most affected groups in the local community, their adaptation to the changing realities at the border and the border crossings, and the differences in border perceptions of the San Diego–Tijuana border region prior to 9/11 compared with the border today. The literature regarding terrorism, security and borders is reviewed, fieldwork results are presented and the findings are compared with those of the existing literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.358
Teacher spread0.332 · 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 designObservational
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

Citations2
Published2013
Admission routes1
Has abstractyes

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