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Record W2471229947

Brainwashing and Extreme Psychological Coercion: A Comparison of the Italian Offense of 'Plagio' and the American Offense of Involuntary Servitude

2014· article· en· W2471229947 on OpenAlexaff
Frances E. Chapman

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsLakehead University
Fundersnot available
KeywordsExcuseCoercion (linguistics)CriminologyLawSociologyPsychologyPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

In North America, many still believe that the defense of brainwashing is simply an excuse to avoid responsibility for one’s personal actions. This paper seeks to understand the North American use of this concept by the legal system by making comparisons to the concept in Italy. First, a general outline of the concept will be established by looking at a possible defence of brainwashing. Secondly, an overview of the Italian offence of “plagio” will be presented, and thirdly a comparison will be made to the American concept of “involuntary servitude.” will be examined Fourthly the historic case of Kozminski will be examined and contrasted with the modern case of Marcus. The paper will finish with a proposal for a North American offense of brainwashing and a call for more study into this very misunderstood area of the law. All of these concepts involve taking away the exercise of free will, and a consistent approach needs to be adopted that recognizes that psychological coercion may be as real as being physically caged.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.023
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.036
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0030.003
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 head0.031
GPT teacher head0.278
Teacher spread0.247 · 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
Published2014
Admission routes1
Has abstractyes

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