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Record W2994055719 · doi:10.12735/jbm.v3i3p08

The only Correct Calculation Method in Cost Management: From Activity Based Costing Perspective

2014· article· en· W2994055719 on OpenAlex
Miroslav Škoda, Gabriela Sláviková, Daniel Lajcin

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.

venuePublished in a venue whose home country is Canada.
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

VenueJournal of Business & Management · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsActivity-based costingPerspective (graphical)Cost accountingComputer scienceOperations managementOperations researchMathematicsEngineeringBusinessArtificial intelligenceAccounting

Abstract

fetched live from OpenAlex

In late 1980’s National Association of Accountants had introduced Activity-based costing – a cost accounting technique which charges organization’s indirect costs to the activities that cause the costs to be incurred and then distributes costs of activities to the products that cause the activities to be performed. Activity-based costing as a management tool has proved its relevance and found its proponents among academics and managers. Introduction of the time aspect into Activity-based costing proved that it is still attracting attention and undergoing development in order to become more accurate. The paramount goal of the implementation is to prove the increased effectiveness and superiority of cost management when using Activity-based costing. It will be achieved by allocation of overhead costs to products with the intention to determine unit costs. This process of

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.011
GPT teacher head0.245
Teacher spread0.235 · 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