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Record W2082542726 · doi:10.1504/ijmfa.2010.033286

Empirical test on the removal of reconciliation requirement from IFRS to US-GAAP

2010· article· en· W2082542726 on OpenAlexaff
Chunhui Liu, Grace O’Farrell

Bibliographic record

VenueInternational Journal of Managerial and Financial Accounting · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsAccountingComparabilityInternational Financial Reporting StandardsBusinessAccounting standardCommissionFinancial accountingAccounting information systemFinance

Abstract

fetched live from OpenAlex

On March 4, 2008, Release No. 33-8879 adopted by the Securities and Exchange Commission (SEC) went into effect and eliminated the need for US-listed foreign companies who prepare financial statements in accordance with IASB-IFRS (International Financial Reporting Standards as issued by the International Accounting Standards Board) to reconcile their financial statements to US-GAAP (US Generally Accepted Accounting Principles). Former studies based on data before 2005 revealed significant differences between IFRS reported measures and US-GAAP reported measures and found Release No. 33-8879 to have been premature. This study updates the literature on differences between IFRS and US-GAAP with recent data and studies convergence between IFRS and US-GAAP by evaluating IFRS vs. US-GAAP comparability in reported net income and net assets from 2004 to 2006. The evidence of convergence is identified.

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)0.040
metaresearch head score (Gemma)0.236
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.236
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0030.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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 designObservational
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

Citations7
Published2010
Admission routes1
Has abstractyes

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