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Record W2003028356 · doi:10.1111/1911-3838.12028

Regroupements d'entreprises et IFRS: le cas de GlobeCom Corporation et Synthetics Inc.

2014· article· fr· W2003028356 on OpenAlexaffvenueabout
Yves Bozec, Philémon Rakoto

Bibliographic record

VenueAccounting Perspectives · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicFinancial Reporting and Valuation Research
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsMergers and acquisitionsAccountingBusinessInternational Financial Reporting StandardsEnforcementCorporationFinancePolitical science

Abstract

fetched live from OpenAlex

This case addresses the accounting for mergers and acquisitions in Canada. Since January 1, 2011, any new transactions from mergers and acquisitions made by a public company must be recorded in accordance with the International Financial Reporting Standards (IFRS). In the case of a partial acquisitions, two theoretical approaches to accounting is allowed under IFRS 3: the approach of a separate entity and the modified approach of the parent entity. For mergers and acquisitions that occurred before this date, firms could either be early adopters to IFRS or firms could apply the Canadian standards that were allowed at the time of reunification. Under Canadian GAAP (CICA, Chap. 1581), partial acquisitions are accounted for using the approach of the parent entity. Canadian public companies that have chosen to recognize their business combinations which occurred before January 1, 2011, according to the approach of the parent entity, may continue to do so even after the enforcement of IFRS. Thus for years to come, we can see in the financial statements of various Canadian public companies business combinations presented in three different ways: according to the separate entity approach, the parent entity approach and, the modified approach of the parent entity. We also include in the case the U.S. GAAP for mergers and acquisitions. In this case, we strongly draw on an acquisition that actually happened, which we adapted to illustrate the three theoretical approaches to account for mergers and acquisitions. In particular, we have changed the name of the company.

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 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)0.006
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.035
GPT teacher head0.325
Teacher spread0.291 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes3
Has abstractyes

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