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Record W2055760912 · doi:10.1002/jhbs.20327

From the stage to the laboratory: Magicians, psychologists, and the science of illusion

2008· article· en· W2055760912 on OpenAlexaff
Sofie Lachapelle

Bibliographic record

VenueJournal of the History of the Behavioral Sciences · 2008
Typearticle
Languageen
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIllusionSecrecyPsychologyPsychoanalysisVisual artsAestheticsSocial psychologySociologyArtCognitive psychologyLawPolitical science

Abstract

fetched live from OpenAlex

In 1894, French psychologist Alfred Binet published an article on the psychology of conjuring. By observing five magicians perform in his laboratory, he was hoping to gain a better understanding of the psychological processes responsible for inducing illusions in an audience. This article focuses on the subjects of these experiments and their world. It attempts to explain why five men belonging to a profession in which secrecy was vital agreed to enter the laboratory and reveal their tricks. It argues that magicians saw themselves as men of science and that, by entering Binet's laboratory, they were responding to an opportunity to participate in a world to which they wished to belong.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.046
Scholarly communication0.0050.009
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.082
GPT teacher head0.366
Teacher spread0.284 · 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.

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

Citations28
Published2008
Admission routes1
Has abstractyes

Explore more

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