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Record W1481897490

Power Without Property, Still: Unger, Berle, and the Derivatives Revolution

2010· article· en· W1481897490 on OpenAlexaff
Cristie Ford, Carol Liao

Bibliographic record

VenueSeattle University law review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBanking stability, regulation, efficiency
Canadian institutionsUniversity of VictoriaUniversity of British Columbia
Fundersnot available
KeywordsDemocracyProperty (philosophy)Political scienceProperty lawLaw and economicsPower (physics)Property rightsLawSociologyEpistemologyPhilosophyPoliticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

This paper was produced for “In Berle’s Footsteps,” a symposium marking the launch of the Adolf A. Berle, Jr. Center on Corporations, Law and Society at the University of Seattle School of Law. It considers the light that the “derivatives revolution” sheds on the theoretical perspectives of Roberto Unger and Adolf Berle. While an unlikely pair, both Unger and Berle focused, in different ways, on the same issues: property, the power associated with property, and the impact of “smashing the atom” of traditional property rights. For Unger, breaking down consolidated property holding at the societal level was a pro-democratic move. For Berle, analyzing corporate law, the separation of ownership from control risked promoting exactly the kind of concentration of power that Unger, through destabilization, sought to destroy. Financial derivatives products deconstruct property well beyond what Berle contemplated, and through a fundamentally different mechanism than what Unger envisioned. Both the differences and the similarities between real life and theory are illuminating. We describe the effects of derivatives at three levels: at the level of corporate law; of financial firm practices and the originate-to-distribute model, and of the global over-the-counter derivatives market. In each case, we find that the fluidity produced by disassembling traditional property rights creates a space within which sophisticated parties are able to consolidate and reaffirm their power. Thus while Unger’s claim about the necessity of “destabilization rights” still resonates, Berle’s insight into the human will to power is central to understanding the risks associated with that destabilization.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.208
Teacher spread0.193 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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