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Record W2272890376

Professional Insecurity, Accountant Identity and the Erosion of Accountancy's Jurisdictional Boundaries

2004· article· en· W2272890376 on OpenAlexaffabout
Yves Gendron, Roy Suddaby

Bibliographic record

VenueSSRN Electronic Journal · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAccountingIdentity (music)JurisdictionAuditConstruct (python library)Political scienceIndependence (probability theory)Public relationsSociologyBusinessLaw
DOInot available

Abstract

fetched live from OpenAlex

This paper examines attitudes about professionalism in accounting shortly before the debacles of Enron and Andersen. Interviews with experienced Canadian Chartered Accountants (CAs) conducted mostly in late 2000 and early 2001 indicate significant doubts about the notion of auditor independence and a relatively high degree of uncertainty about the future of the profession. Accountants also expressed significant difficulties in describing the basic features of what it meant to be a professional accountant. Based on these observations we introduce and detail the construct of professional insecurity. Relying on Giddens' theoretical developments on the role of trust and systems of expertise in today's society, we reflect about the significance and implications of CAs' professional insecurity, particularly in terms of its impact on accountancy's ability to secure its jurisdictional boundaries. Our thesis is that the difficulties that accountants experienced in their day-to-day life in sustaining a coherent sense of self-identity were particularly stressful to them given people's fundamental need for coherence, and significantly affected the capacities of their profession to hold jurisdiction.

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)0.007
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.021
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0010.003
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 head0.006
GPT teacher head0.221
Teacher spread0.215 · 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 designTheoretical or conceptual
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

Citations11
Published2004
Admission routes2
Has abstractyes

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Same venueSSRN Electronic JournalSame topicAccounting and Organizational ManagementFrench-language works237,207