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Record W2583313678 · doi:10.22495/cocv5i2c3p8

Determinants of the corporate decision to record goodwill impairment loss: Canadian evidence

2008· article· en· W2583313678 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

VenueCorporate Ownership and Control · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsnot available
Fundersnot available
KeywordsGoodwillAccountingBusinessShareholderEarningsCorporate governanceSample (material)Actuarial scienceFinance

Abstract

fetched live from OpenAlex

The initial application of the new goodwill accounting standard enables firms to record an actual goodwill impairment loss in their books without affecting their earnings. The recording of a goodwill impairment loss indicates that the acquiring firm paid an excessive premium at the time of the business combination, and that this goodwill does not enable it to generate future earnings. This study is based on the hubris hypothesis and governance structure and is aimed at predicting whether managers will choose to record a goodwill impairment loss. Using a sample of high-tech Canadian firms, we noted that firms where: (1) managers showed excessive confidence, (2) the CEO cumulates the function of chairman and (3) the dominant shareholder was also a manager tended to record a goodwill impairment loss. The results are consistent with those of previous studies, which suggest that systematic differences exist between firms that choose alternative accounting methods. Hence, the results provide further support in the developing framework of a positive theory of accounting methods.

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)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.039
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.037
GPT teacher head0.217
Teacher spread0.180 · 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