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Understanding Why and How Some Chartered Accountants Object to the Proposed Merger of the Three Accounting Professions in Canada

2012· article· en· W2019659849 on OpenAlexvenueaboutno aff
Ken H. Guo

Bibliographic record

VenueAccounting Perspectives · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingPolitical scienceValuation (finance)ManagementOpposition (politics)Business administrationHumanitiesBusinessEconomicsLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This study examines the objections of some chartered accountants (CAs) to the recently proposed merger of the three accounting professions in Canada. An exploratory content analysis was conducted to investigate CAs' discussions on the online forum set up by the three accounting bodies. The results suggest that CAs viewed themselves narrowly as: (1) someone who passed the Uniform Evaluation (UFE), (2) much different from or superior to certified management accountants (CMAs) and certified general accountants (CGAs), and (3) validated by third parties (such as international counterparts) and external factors (such as job market opportunities). As a result, the proposed merger was seen as a threat to their professional identities. CAs also perceived unfairness of the merger process and the leadership of their institute. These factors together were found to have influenced CAs' objections, which were manifested in multiple levels of resistant behavior toward different targets. Implications for practice are also discussed.

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)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.402

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.006
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.221
Teacher spread0.182 · 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 designQualitative
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

Citations19
Published2012
Admission routes2
Has abstractyes

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