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Record W2760912914 · doi:10.29173/cjs28291

An Important Milgram-Holocaust Linkage: Formal Rationality

2017· article· en· W2760912914 on OpenAlexaffvenue
Nestar Russell

Bibliographic record

VenueThe Canadian Journal of Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMilgram experimentThe HolocaustObedienceRationalityHarmSociologyObject (grammar)EpistemologyLawSocial psychologyPsychologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

After Stanley Milgram published his first official Obedience to Authority baseline experiment, some scholars drew parallels between his findings and the Holocaust. These comparisons are now termed the Milgram-Holocaust linkage. However, because the Obedience studies have been shown to differ in many ways from the Holocaust’s finer historical details, more recent literature has challenged the linkage. In this article I argue that the Obedience studies and the Holocaust share two commonalities that are so significant that they may negate the importance others have attributed to the differences. These commonalities are (1) an end-goal of maximising “ordinary” people’s participation in harm infliction and (2) a reliance on Weberian formal rational techniques of discovery to achieve this end-goal. Using documents obtained from Milgram’s personal archive at Yale University, this article reveals the means-to-end learning processes Milgram utilised during his pilot studies in order to maximise ordinary people’s participation in harm-infliction in his official baseline experiment. This article then illustrates how certain Nazi innovators relied on the same techniques of discovery during the invention of the Holocaust, more specifically the so-called Holocaust by bullets. In effect, during both the Obedience studies and the Holocaust processes were developed that made, in each case, the undoable doable.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.007
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.073
GPT teacher head0.410
Teacher spread0.337 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2017
Admission routes2
Has abstractyes

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