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Record W4310688619 · doi:10.53656/voc22-511scet

Accounting Education – Training Professionals Ready for the Future

2022· article· en· W4310688619 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

VenueVocational Education · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Reporting and XBRL
Canadian institutionsnot available
Fundersnot available
KeywordsAccountingMultidisciplinary approachEngineering ethicsPolitical scienceKnowledge managementBusinessEngineeringComputer science

Abstract

fetched live from OpenAlex

The purpose of the article is to present the results of a study of modern trends in the accounting profession, related to the need to acquire knowledge, skills, and competencies to achieve a successful professional realization of accounting students in the conditions of rapid development of information technologies and digital transformation. In connection with this, traditional and modern ideas about accounting and modern opportunities for professional realization in this field are examined. Research insights into the implementation of a multidisciplinary approach in accounting education are presented. Through the lens of the International Educational Standards (IES), published by the International Federation of Accountants (IFAC), and the Canadian CPA profession's Competency Map, the necessary skills and competencies for successful implementation in the accounting profession have been examined. Contemporary challenges and perspectives for the accounting profession are clarified, as well as emerging job roles related to the increasing use of digital data, artificial intelligence, and automation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
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 studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.321
Teacher spread0.284 · 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