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Record W7053503440

The Use of Criminal Interrogation Methods Within a Postmodern America

2020· dissertation· en· W7053503440 on OpenAlexaboutno aff

Bibliographic record

VenueOakTrust (Texas A&M University Libraries) · 2020
Typedissertation
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsnot available
Fundersnot available
KeywordsInterrogationSubject (documents)PretextSubpoenaCircumstantial evidenceRidiculous
DOInot available

Abstract

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Postmodernism affects and further explains the use of interrogation methods in American military court-martial investigations. Postmodernism is a term used by sociologists to define the era after modernity and structuralism (around 1960s onward to present). Sociologist and postmodernist, Jean Baudrillard, in his book America, described American society as a collection of rootless, circulatory fictions that have no ultimate meaning. Postmodernists are skeptical about meaning, and they see the present social world as a simulacrum of reality. Sociologist Richard Rorty believed that postmodernism was full of irony, where someone could use wording alone to spin just about anything into a good or bad light. Because of this, no one thing is true or solid in society because irony deconstructs solidarity. For this research, I will analyze the record of trial (Leahy ROT) of US v Michael Leahy, a court-martial that involved a challenge to the use of standard interrogation techniques with the argument that they constitute a coerced confession, the videotape of Leahy’s interrogation that was shown in its entirety during the court-martial, and the testimonies as well as cross-examination of the two interrogators. To be able to analyze these videotapes, I will be using Pauline Rosenau’s glossary from her book, Post-modernism and the Social Sciences, as the primary instrument to analyze these videotapes. I will be looking at selected terms from the glossary such as decentering, deconstruction, privileged, simulacrum, and hyperreality. I will also be using Fred Inbau and John Reid’s book, Criminal Interrogation and Confessions, to be able to clearly outline routinized methods and practices used by the United States government. This book includes step-by-step instructions to interview (interrogate) and gather a confession from the viewpoint of the interviewer (interrogator). By use of the glossary and the book as tools for understanding postmodernism, I plan to clearly show the ways in which interrogation techniques have been affected, for the worse, by a postmodern society.Through this research, my goal is to understand how postmodern terms accurately explain the current trends in American interrogation techniques. I will apply postmodern concepts to typical interview and interrogation techniques such as ego up, we know everything, fake rapport, and fake empathy, among others. It is important to note that none of these techniques can be finally and ultimately reduced to any one, single, method of interrogation or interview. The use of the many of these techniques is ubiquitous in all United States police departments as well as military investigations, and most use psychological tactics to make the suspect incriminate themselves. These techniques are controversial methods, and some are banned in Canada, the United Kingdom, and Australia where many are seen as a form of coercion. The importance of my research is that it uses primary source data drawn from the actual videotape and record of trial where the use of investigation techniques were prominent in the preparation for the military court-martial. This data will illuminate some of the controversies surrounding the use of the techniques. I have found that, because of postmodernism, the distinction between right and wrong in the interrogation room has been blurred.

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0080.034
Scholarly communication0.0080.013
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.033
GPT teacher head0.238
Teacher spread0.206 · 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 designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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