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Record W1587727878 · doi:10.4128/9781606490242

An Executive's Guide for Moving from US GAAP to IFRS

2009· book· en· W1587727878 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.

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

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingBusinessExecutive summaryFinance

Abstract

fetched live from OpenAlex

<p><b><i>An Executive's Guide for Moving from US GAAP to IFRS</i> reviews different issues relating to the possibility that the Securities and Exchange Commission (SEC) may eventually mandate the use of International Financial Reporting Standards (IFRS) for use by listed companies and delegate to the International Accounting Standards Board (IASB) the task of providing accounting standards for the United States.</b></p><p>The first chapter reviews the international movement to converge on a single global basis of accounting for listed companies. It also discusses the experience of European companies, where 25 countries adopted IFRS in 2005. The second chapter analyzes the position in the United States. It looks at the advantages and disadvantages for corporations and explains the convergence program being followed by the Financial Accounting Standards Board (FASB) and the IASB. It also looks at the SEC’s activities in this area and then sets out the challenges to be addressed by U.S. corporations if IFRS are adopted.</p><p>Canada has made the decision to switch in 2011, and the Canadian experience is discussed as offering a blueprint for the United States. This is followed by an extensive analysis of the technical differences between IFRS and U.S. Generally Accepted Accounting Principles (GAAP).</p><p>The last two chapters explain the organizational structure of the IASB and its standard-setting process, and then the evolution of the international standard-setter from its beginning in 1973.</p>

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.051
GPT teacher head0.339
Teacher spread0.288 · 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