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Record W2805576735 · doi:10.1108/sampj-09-2017-0119

(Non) coverage of sustainability within the French professional accounting education program

2018· article· en· W2805576735 on OpenAlexaff
Emilio Boulianne, S. Leanne Keddie, Maxence Postaire

Bibliographic record

VenueSustainability Accounting Management and Policy Journal · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsSustainabilityAccountingSustainability reportingGovernment (linguistics)AuditSocial accountingContext (archaeology)Positive accountingPublic relationsSustainability organizationsOriginalityBusinessManagement accountingCorporate social responsibilityPolitical scienceAccounting information systemFinancial accounting

Abstract

fetched live from OpenAlex

Purpose This study seeks to identify how professional accountants in France are educated in sustainability; we examine the French accounting programs in regard to sustainability accounting education recommendations. Design/methodology/approach We analyze a variety of documents to ascertain what comprises the typical accounting education program in France. Additionally, we conduct five interviews of various stakeholders to understand the importance of sustainability accounting and education in the French context. Findings We note an interesting paradox in the French context: while the government requires the reporting and auditing of corporate sustainability information, we find that sustainability is not greatly present in the government-funded French accounting education program. We determine that the government’s power in setting the education agenda combined with its budget restrictions and ability to defer responsibility to other parties has resulted in this paradox in the French setting. Practical implications This research draws attention to the consequences of society ignoring sustainability education for professional accountants. Social implications This paper contributes to the discussion on how to educate responsible professional accountants and the implications for the planet if accountants are not trained in sustainability. Originality/value This research contributes to the important domain of sustainability accounting education. We also explore additional implications for the accounting profession and the general public.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
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 head0.005
GPT teacher head0.275
Teacher spread0.270 · 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

Citations40
Published2018
Admission routes1
Has abstractyes

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