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Record W2563270556 · doi:10.13169/statecrime.5.2.0287

Milgram, Genocide and Bureaucracy: A Post-Weberian Perspective

2016· article· en· W2563270556 on OpenAlexaff
Augustine Brannigan, Gina Perry

Bibliographic record

VenueState Crime Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMilgram experimentThe HolocaustObedienceGenocideSociologyBureaucracyPolitical scienceLawCriminologyPsychoanalysisPsychologyPolitics

Abstract

fetched live from OpenAlex

The link between Stanley Milgram's experimental study of obedience in 1963 and the explanation of the Holocaust during the Second World War has been the subject of controversy for the past five decades. Russell and Gregory (2015) offer the latest reflections on this relationship. Hannah Arendt's analysis of Eichmann centred on the image of desk murderers mindlessly processing military orders. Milgram invoked pervasive evidence of compliance to morally reprehensible commands in his experimental study of obedience. The joint Arendt–Milgram perspective has recently fallen into disrespect as a result of voluntarism evidenced in recent studies of ordinary Germans in participation in mass murder. Russell and Gregory's contribution advances an essentially Weberian explanation for the behaviour of perpetrators. Their analysis of the obedience experiments concludes that all the participants were constrained by a normative structure that led them to ignore harm to subjects as a result of the larger bureaucratic mindset that allowed Milgram's assistants, his funders and his subjects to suppress acknowledgement of injury. They argue that this recapitulates key features of the Holocaust. The recent historiography of the Holocaust points to a post-Weberian understanding of the bureaucracies at the heart of the genocide – the slave labour program in Germany and German-occupied territory, and the Wehrmacht on the Eastern Front, where evidence points to a conscious and enthusiastic endorsement of the homicidal objectives of the Nazi regime.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.367
Teacher spread0.344 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations19
Published2016
Admission routes1
Has abstractyes

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