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Record W3154556834

French managers and the organization of financial economics in the 1970s and 1980s

2020· article· en· W3154556834 on OpenAlexaboutno aff
Franck Jovanovic

Bibliographic record

VenueRevue internationale de psychosociologie et de gestion des comportements organisationnels · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)MainstreamBusiness historyPerformativityFinancePolitical scienceEconomicsSociologyEconomic historyHistory
DOInot available

Abstract

fetched live from OpenAlex

This article analyzes an under-studied aspect of the history of managerial thought in France: the role of French managers in the organization of financial economics during the 1970s and 1980s. While the foundations of financial economics were established by American economists in the 1960s and 1970s, these ideas were introduced in France between the second half of the 1970s and the early 1980s, mainly by French managers trained in Canada and the United States. This article describes how these managers introduced and structured this field in France, both scientifically and practically. In addition to analyzing publications and archives, this article draws on information collected through a survey and interviews with the main French actors of this period. It also uses an original database constructed from working papers of the Centre d’Enseignement Superieur des Affaires, and original statistical data compiled from documents of the European Institute for Advanced Studies in Management. The article presents three main results. First, French managers benefited from a favorable historical context for introducing research in financial economics. Second, at that time the contributions of French managers consisted mainly in applying mainstream American models of market finance to French data, thanks to the creation of computer databases. Third, French managers largely contributed to the performativity of the financial economics in France.

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)0.000
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 score0.715
Threshold uncertainty score0.213

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 head0.076
GPT teacher head0.249
Teacher spread0.173 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevue internationale de psychosociologie et de gestion des comportements organisationnelsSame topicFrench Historical and Cultural StudiesFrench-language works237,207