The Impact of Post-9/11 US Policy on the California–Baja California Border Region
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".