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Record W3123491429

The Fable of Fisher Body

2001· article· en· W3123491429 on OpenAlexaff
Ramon Casadesus‐Masanell, Daniel F. Spulber

Bibliographic record

VenueJournal of Law and Economics · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsKellogg's (Canada)
Fundersnot available
KeywordsProduction (economics)OpportunismEconomicsInvestment (military)Transaction costDatabase transactionInterpretation (philosophy)MicroeconomicsBusinessIndustrial organizationComputer scienceMarket economy
DOInot available

Abstract

fetched live from OpenAlex

General Motors' (GM) acquisition of Fisher Body is the classic example of market failure in the literature on contracts and the theory of the firm. According to the standard account, GM merged vertically with Fisher Body in 1926, a maker of auto bodies, because of concerns over transaction-specific investment and contractual hold up. That account exhibits errors of historical fact and interpretation. GM acquired a 60 percent interest in Fisher Body in 1919. Moreover, the contractual arrangements and working relationship prior to the 1926 merger exhibited trust rather than opportunism. Fisher Body's production technology did not exhibit asset specificity. The merger reflected economic considerations specific to that time, not some immutable market failure. We demonstrate that vertical integration was directed at improving coordination of production and inventories, assuring GM adequate supplies of auto bodies, and providing GM with access to the executive talents of the Fisher brothers.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.006
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0310.005

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 head0.026
GPT teacher head0.203
Teacher spread0.178 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2001
Admission routes1
Has abstractyes

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