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Record W4321448295 · doi:10.21428/f1f23564.f20c77b2

The United States of Surveillance: A Review of America’s Mass Surveillance Laws, Programs, and Oversight

2022· review· en· W4321448295 on OpenAlexaff
Sebastián Rodríguez

Bibliographic record

VenueIDEAH · 2022
Typereview
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsElectronic surveillancePolitical scienceLawPublic administration

Abstract

fetched live from OpenAlex

A Review of America' s Mass Surveillance Laws, Programs, and Oversight 2 After the September 11 attacks, the United States government implemented several programs to safeguard its citizens both at home and abroad.The Global War on Terrorism began, and the power of the United States executive branch grew as it deployed troops and declared war on an enemy operating across the borders of multiple countries.The fight against terrorism, however, was not limited to military deployments in the Middle East.Legislation and legal interpretations, including the USA PATRIOT Act, the Foreign Intelligence Surveillance Act (FISA), and others, granted the executive extraordinary powers to fight a digital surveillance war, not against any one country but rather against various networks of alleged terrorist cells located around the world.Programs implemented after 2001 sought to allow information to flow across various intelligence agencies, while greatly expanding the powers of intelligence gathering.Utilizing the Unitary Executive interpretation of Constitutional power, and with the help of legislation and a secret court, the executive branch of the United States government created a surveillance state that continues to jeopardize the rights American citizens have to privacy, the Fourth Amendment's protection from unreasonable searches and seizures, and the Sixth Amendment's rights to be informed when accused of a crime and to face an accuser in court.The pervasive and interlocking network of mass surveillance developing from the War on Terror has grown into a systemic problem for US citizens, with its programs continuing to infringe upon the rights of millions while producing few meaningful results.The United States of Surveillance is a web-based digital humanities project that uses interactive media and documents to demonstrate how mass surveillance programs in the United States are sanctioned, operated, and used by deconstructing their supporting legal frameworks.This article, which accompanies the digital project, disentangles the juridical intricacies of surveillance to reveal how the current surveillance state systematically threatens the rights of citizens.After briefly introducing relevant surveillance studies scholarship, subsequent sections review pertinent legal frameworks, examples of post-9/11 mass surveillance programs, and relevant case law that helped to shape and maintain the contemporary surveillance state.Ultimately, it demonstrates how the contemporary surveillance state systemically threatens citizens, corporations, and the very fabric of democracy in the United States. Critical ContextThe field of surveillance studies is a "cross-disciplinary initiative to understand the rapidly increasing ways in which personal details are collected, stored, transmitted, checked, and used as means of influencing and managing people and populations" (Lyon, "Surveillance Studies" 1).While the current landscape of scholarly work in surveillance was shaped by post-9/11 policy and programs, academics spent decades developing frameworks allowing researchers to properly define and contextualize surveillance practices.Michel Foucault, a French philosopher who discussed issues of governmental power, surveillance, and control, analyzed shifts in governance strategies over the course of the 18 th and 19 th centuries, particularly in terms of the prison system and industrialized labour.While Foucault explored historical surveillance apparatuses, other 20 th century

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.077
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0150.015
Science and technology studies0.0020.003
Scholarly communication0.0060.007
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.002

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 head0.058
GPT teacher head0.370
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueIDEAHSame topicIntelligence, Security, War StrategyFrench-language works237,207