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Record W2462694395 · doi:10.1111/dsji.12100

Operations Course Icebreaker: Campus Club Cupcakes Exercise

2016· article· en· W2462694395 on OpenAlex
Brent Snider, Nancy Southin

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.

Bibliographic record

VenueDecision Sciences Journal of Innovative Education · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsThompson Rivers UniversityUniversity of Calgary
Fundersnot available
KeywordsClubExperiential learningReading (process)MarketingClass (philosophy)Computer scienceManagementMathematics educationPsychologyBusinessPolitical scienceEconomics

Abstract

fetched live from OpenAlex

ABSTRACT Campus Club Cupcakes is an in‐class ‘introduction to operations management’ experiential learning exercise which can be used within minutes of starting the course. After reading the one‐page mini case, students are encouraged to meet each other and collaborate to determine if making and selling cupcakes to fellow business students would be a viable fundraising activity for a student club interested in completing a community development project in a developing country. The exercise is a variation and extension of the popular Kristen's Cookie Co. Harvard case which addresses capacity and bottlenecks. Campus Club additionally incorporates supply chain management and risk management concepts while also revealing how operations management integrates with the functional areas of marketing, accounting, and finance.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.730
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.325
Teacher spread0.303 · 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