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Record W2310892897 · doi:10.1111/1911-3838.12088

Cream-Filled Cookies: An Assurance In-Class Case

2016· article· en· W2310892897 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueAccounting Perspectives · 2016
Typearticle
Languageen
FieldEngineering
TopicSafety Systems Engineering in Autonomy
Canadian institutionsLaurentian University
Fundersnot available
KeywordsCertificationAuditClass (philosophy)Computer scienceBusinessManagementArtificial intelligenceAccountingEconomics

Abstract

fetched live from OpenAlex

This case presents students with a case situation that they can visualize, resulting in some unique learning opportunities. The case is an assurance simulation centered on cookies that can be purchased in the grocery store that have a cream filling, and the same type of cookie but with twice as much cream filling. These cookies are manufactured by various companies including long-standing brands and generic brands from national supermarkets. Given the popularity of these cookies, and the ease of access to them, they make for a perfect introductory simulation to students during their first assurance class. Mr. Cookie becomes a fictional character in the case to represent the client that the auditors are working for. The case is easy enough for students to work independently, and has been tested in both small and large classes; working equally as well. It does require the instructor to invest in some cookies and measurement tools such as rulers, plastic knives and weigh scales. The group discussion at the end consistently results in students gaining a greater understanding of the scope and limitations of assurance services, setting the foundation for the balance of the introductory assurance course. L'auteure soumet aux étudiants une étude de cas dont ils peuvent visualiser la situation, leur offrant ainsi une occasion d'apprentissage unique. Il s'agit de la simulation d'une mission de certification auprès d'un fabricant de biscuits fourrés à la crème semblables aux autres biscuits vendus dans les épiceries mais contenant deux fois plus de crème. Les biscuits à la crème offerts dans les épiceries sont confectionnés par diverses sociétés, sous des marques solidement établies et des marques génériques de supermarchés nationaux. Compte tenu de la popularité de ces biscuits et de la facilité avec laquelle les consommateurs peuvent se les procurer, la situation est parfaitement appropriée pour initier les étudiants à une simulation dans un premier cours de certification. M. Cookie, personnage fictif du cas, joue le rôle du client des services des auditeurs. L’étude de cas est assez simple pour que les étudiants puissent y travailler de manière indépendante, et elle a été mise à l'essai en classe, avec autant de succès, auprès de petits et de grands groupes. Le formateur devra investir dans des biscuits et des instruments de mesure tels que des règles, des couteaux en plastique et des balances. La discussion de groupe au terme de l'exercice permet invariablement aux étudiants de mieux comprendre l’étendue et les limites des services de certification, jetant les bases de l’équilibre visé dans un cours d'introduction à la certification.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.883

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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