MétaCan
Menu
Back to cohort
Record W4415757970 · doi:10.1111/1911-3838.70003

Hiffmax Motor Company

2025· article· en· W4415757970 on OpenAlexaffvenueabout
Yan Jin, Flora Niu, Leo Sheng

Bibliographic record

VenueAccounting Perspectives · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsYork UniversityWilfrid Laurier University
Fundersnot available
KeywordsAccounting managementFinancial accountingMultinational corporationAccounting information systemFinancial ratioAccounting standardManagement accountingKey (lock)

Abstract

fetched live from OpenAlex

ABSTRACT This fictional case explores the financial reporting challenges faced by a Canadian multinational corporation, offering students a valuable opportunity to apply key accounting concepts in a practical setting. Focusing on the fiscal year ending September 30, 2025, the case emphasizes critical adjustments necessary before finalizing the financial statements. The case covers the following topics: (1) fundamental steps in the accounting cycle, with an emphasis on supporting the preparation of financial statements; (2) accounting for discontinued operations and the implications of subsequent events; (3) calculation of both basic and diluted EPS; and (4) financial challenges related to investments, requiring well‐informed reporting recommendations. Through this engaging case, students gain hands‐on experience with real‐world financial reporting issues, enhancing their understanding of essential accounting principles. This case is ideal for intermediate‐level financial accounting courses but can also be adapted for other courses, such as advanced financial reporting in undergraduate programs or financial accounting in graduate programs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.250
Teacher spread0.240 · 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 designNot applicable
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

Citations0
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueAccounting PerspectivesSame topicAccounting Education and CareersFrench-language works237,207