MétaCan
Menu
Back to cohort
Record W3197969268

The Measure of a Monitor's Role

2021· article· en· W3197969268 on OpenAlexfundaboutno aff
Alejandro E Gonzalez

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
FundersCanadian Imperial Bank of Commerce
KeywordsMeasure (data warehouse)Computer scienceEnvironmental scienceRemote sensingGeologyData mining
DOInot available

Abstract

fetched live from OpenAlex

This study examines the monitor, a court-appointed officer under the Companies’ Creditors Arrangement Act, in order to determine whether and how to best secure its independence. Concerns over the role are increasingly over whether it can maintain its supposed impartiality and avoid conflicts of interest. This study centers on its fiduciary duty, long discussed in the courts, as both problematic because it is not conclusively defined, and as the best means of establishing the monitor as a fair and impartial guardian of public confidence in Canadian insolvency law. By examining leading insolvency law theories, international and Canadian insolvency policy, and then the CCAA and insolvency and fiduciary caselaw, this study proposes codification of the monitor’s fiduciary duty. The monitor’s fiduciary duty remains an underexplored concept in the literature, and this study proposes clarification and certainty for that duty through its addition to the CCAA.

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)0.041
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 score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0020.004
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.067
GPT teacher head0.261
Teacher spread0.194 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)Same topicCorporate Insolvency and GovernanceFrench-language works237,207