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Record W1999557944 · doi:10.3917/rhsh.020.0011

From Antwerp to Chicago : the History of Exchange Traded Derivative Security Contracts

2009· article· fr· W1999557944 on OpenAlexaff
Geoffrey Poitras

Bibliographic record

VenueRevue d Histoire des Sciences Humaines · 2009
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDerivative (finance)BusinessFinance

Abstract

fetched live from OpenAlex

<titre>R&#233;sum&#233;</titre>Cet article &#233;tudie l&#8217;histoire des produits d&#233;riv&#233;s n&#233;goci&#233;s en bourse, depuis les premiers &#233;changes sur les contrats &#224; terme cessibles qui surviennent au xvie si&#232;cle jusqu&#8217;&#224; l&#8217;apparition des &#233;changes intensifs de produits d&#233;riv&#233;s au d&#233;but des ann&#233;es 1970. Apr&#232;s avoir discut&#233; de l&#8217;importance actuelle des &#233;changes de &#171;&#160;free standing derivatives&#160;&#187; sur les marchandises et les valeurs, nous identifierons les caract&#233;ristiques institutionnelles permettant l&#8217;&#233;change de tels contrats tels qu&#8217;ils pouvaient s&#8217;effectuer &#224; la bourse d&#8217;Anvers pendant le xvie si&#232;cle. De m&#234;me, nous recenserons les &#233;changes qui ont eu lieu sur les march&#233;s d&#8217;actions d&#8217;Amsterdam et Londres pendant les xviie et xviiie si&#232;cles. Les caract&#233;ristiques des produits d&#233;riv&#233;s n&#233;goci&#233;s pendant le xixe si&#232;cle, telles qu&#8217;elles &#233;mergent avec l&#8217;apparition du Chicago Board of Trade, sont ensuite analys&#233;es conjointement avec les arguments mobilis&#233;s pour appuyer des projets de lois du Congr&#232;s des &#201;tats-Unis pour r&#233;glementer le commerce des produits d&#233;riv&#233;s. L&#8217;article conclut par une vue d&#8217;ensemble des facteurs qui ont conduit &#224; l&#8217;ouverture des &#233;changes sur le Chicago Board Options Exchange dans les ann&#233;es 1970.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.052
GPT teacher head0.237
Teacher spread0.185 · 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.

Study designNot applicable
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

Citations25
Published2009
Admission routes1
Has abstractyes

Explore more

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