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Record W2507607547 · doi:10.1111/1911-3838.12096

Identifying and Managing Control System Benefits and Costs

2016· article· en· W2507607547 on OpenAlexaffvenue
Norman T. Sheehan

Bibliographic record

VenueAccounting Perspectives · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting Education and Careers
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsControl (management)Management control systemBest practiceKnowledge managementProcess managementUnit (ring theory)Management systemEngineering managementBusinessComputer scienceOperations managementMedical educationPsychologyManagementEngineeringMedicineMathematics education

Abstract

fetched live from OpenAlex

Abstract A well‐functioning management control system is essential to ensure the organization's strategy is executed as planned. While accounting students are provided many opportunities to master the design of management control systems, students are provided fewer opportunities to practice applying management control systems. This interactive role play allows students to experience the challenges managers face when applying organizational control systems. The role play fits best at the end of the unit where instructors have reviewed management control system design and application and is best suited for undergraduate and MBA students who have little or no supervisory experience. Students rated the role play as highly effective, as 97 percent (n = 38) of the students recommend that instructors at other institutions adopt this exercise.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.002
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.224
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2016
Admission routes2
Has abstractyes

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