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Record W1960740505 · doi:10.1177/1046878115594321

Vital Roux, Forgotten Forerunner of Modern Business Games

2015· article· en· W1960740505 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSimulation & Gaming · 2015
Typearticle
Languageen
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsExperiential learningPresentation (obstetrics)Work (physics)Public relationsSociologyEpistemologyPolitical sciencePedagogyPhilosophyEngineering

Abstract

fetched live from OpenAlex

Aim. This article presents the pioneering work of Vital Roux, a French businessman and author who proposed, in the 1800s, a teaching method to train business people which closely resembles the experiential method central to today’s business games. Background. This presentation indirectly discusses the fundamental issue of business games’ success as an educational innovation. We recall briefly that the roots of business games are distant, multiple, and far-ranging. Method. The pedagogy advocated by Vital Roux is revealed and innovative aspects of his educational system are noted and discussed. Roux’s obscurity is underlined, and a plausible explanation for the relative failure of his project is proposed. A social and historical hypothesis is then suggested to explain the success which business games have won in the United States a century and a half later. Conclusion.Roux’s key thoughts are summarized, suggesting he can appear as a forgotten forerunner of modern business games.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.652
Threshold uncertainty score0.423

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.065
GPT teacher head0.358
Teacher spread0.292 · 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