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Record W3128101497 · doi:10.4236/jss.2021.92005

Are Milgram’s Obedience Studies Internally Valid? Critique and Counter-Critique

2021· article· en· W3128101497 on OpenAlexaff
Nestar Russell, Robert J. Gregory

Bibliographic record

VenueOpen Journal of Social Sciences · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPsychology of Social Influence
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMilgram experimentObedienceCriticismSocial psychologyDilemmaPsychologyEpistemologyLawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This article challenges the most significant methodological criticism directed at Milgram’s obedience studies, namely, that they lack internal validity because most obedient subjects probably did not believe that the “learner” was actually receiving dangerous electric shocks (Orne & Holland, 1968). This criticism has been bolstered recently by data that claims to show that this was indeed the case (Perry et al., 2020; Hollander & Turowetz, 2017). We argue instead that while Milgram’s experimental paradigm has minor methodological flaws, the resilient issue of believability is actually a red herring, because Milgram’s procedure ensured subjects remained uncertain about the reality of the shocks they were ostensibly delivering. This uncertainty forced all subjects into resolving the experiment’s inherent moral dilemma. That is, would they prematurely end a potentially real experiment and secure the learner’s safety? Or would they continue to inflict “shocks” they believed were perhaps, probably, or even most certainly fake, thus still running the risk of potentially being wrong? We believe the obedience experiments remain, for the most part, internally valid, and that they continue to be externalisable to other moral dilemmas. They help in understanding the perpetration of the Holocaust, contrary to the opposite claim made by some of Milgram’s critics.

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)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.000
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 head0.155
GPT teacher head0.533
Teacher spread0.379 · 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 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

Citations4
Published2021
Admission routes1
Has abstractyes

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