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Record W2336418981 · doi:10.22495/cocv12i4c4p5

The role of corporate governance in executive compensation system

2015· article· en· W2336418981 on OpenAlex
Yusuf Mohammed Nulla

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCorporate Ownership and Control · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsStock exchangeExecutive compensationCorporate governanceBusinessAccountingStock (firearms)CashFinanceGeography

Abstract

fetched live from OpenAlex

This research study explores the relationship between the executive compensation and corporate governance among the New York Stock Exchange (NYSE) and the Toronto Stock Exchange (TSX/S&P) companies from 2005 to 2010. The quantitative research method was selected for this research study. The eighty largest companies from the New York Stock Exchange and the Toronto Stock Exchange were selected. The random sample method was used to select the two populations from each index. The research question for this research study was: is there a relationship between CEO cash compensation and corporate governance among the Toronto Stock Exchange and the New York Stock Exchange companies. The four statistical regression models found that there was a weak relationship between corporate governance and executive compensation among the TSX/S&P and the NYSE populations. Also, the Pearson correlation results indicated that the corporate governance has a minimal role towards the determination of the executive compensation

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.591

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.191
Teacher spread0.160 · 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