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Record W2262585738

Innovation and the Organizational Contract: Lessons from Income Trusts

2013· article· en· W2262585738 on OpenAlexaffabout
Edward Iacobucci

Bibliographic record

VenueTSpace · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBusinessFinanceAccounting
DOInot available

Abstract

fetched live from OpenAlex

This Article investigates why North American businesses typically do not adopt the trust form, other than as a financing vehicle. It examines an episode in Canada in which the trust form became very popular amongst publicly traded businesses. Until 2006, there were significant tax advantages associated with adopting an "income trust" structure. Regardless of the tax motivations for the form, the income trust offered businesses greater flexibility in choosing their governance rules than that offered by the corporate form. Income trusts often took advantage of this flexibility, deviating from mandatory corporate law rules on a number of dimensions. This Article finds that there were positive market reactions to innovations in governance by income trusts. However, once the law changed to remove the tax advantages of income trusts, the form all but ceased to be adopted — despite relatively low costs of adoption. On balance, this Article suggests that innovative trust structures are not especially valuable from a pure governance perspective, though governance innovations may be valuable if combined with tax advantages.

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)0.008
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.030
Scholarly communication0.0070.012
Open science0.0010.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.243
Teacher spread0.228 · 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 designQualitative
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
Published2013
Admission routes2
Has abstractyes

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