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Record W2113211585 · doi:10.4337/9780857931535.00016

Institutional Investors as Blockholders

2012· book-chapter· en· W2113211585 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2012
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicState Capitalism and Financial Governance
Canadian institutionsYork University
Fundersnot available
KeywordsBusinessInstitutional investorFinancial systemFinanceCorporate governance

Abstract

fetched live from OpenAlex

Pichhadze (2010) introduced the Market Oriented Blockholder Model (MOBM) as properly describing the ownership pattern in the American equity markets. Under the model, the emerging blockholder in the American equity markets is the institutional investor (II). This poses a challenge to the shareholder primacy literature, which argues that IIs (i) have interests that coincide with the interests of the shareholder body in the public firm, (ii) promote dispersed ownership, and (iii) crusade shareholder interests domestically and internationally. I show that (i) the position of IIs as blockholders creates a paradox for both the literature and the law, (ii) IIs have interests that do not coincide with those of other shareholders, and (iii) failure to recognize these observation vis-à-vis IIs or the MOBM may result in the introduction of a systemic risk into the financial system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.199
Teacher spread0.174 · 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