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Record W1831027016 · doi:10.1111/dsji.12077

Plan Before You Play: An Activity for Teaching The Managerial Process

2015· article· en· W1831027016 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.

Bibliographic record

VenueDecision Sciences Journal of Innovative Education · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCreativityPlan (archaeology)Competition (biology)Process (computing)Class (philosophy)Subject (documents)Computer scienceInvestment (military)Mathematics educationKnowledge managementTeaching methodPsychologyWorld Wide WebArtificial intelligenceSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT This article describes a 60‐minute classroom activity using LEGO ® bricks that demonstrates and reinforces the importance of the managerial process. The activity, Plan Before You Play (PBP), is targeted to introductory business classes, and differs from others in that it requires little investment or up‐front planning, is easily scalable, and, with a few minor adjustments, can be altered sufficiently to discourage information drift across multiple class offerings and academic terms. It can also be modified to subject specific discussions. Students can participate in PBP regardless of their level of knowledge or interest in the subject. Participating in PBP provides students with a concrete example of how good communication and a decision framework can result in more efficient use of resources. The activity also encourages creativity and can be used to generate healthy competition between student groups.

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)0.008
metaresearch head score (Gemma)0.003
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 score0.720
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.004
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 head0.062
GPT teacher head0.377
Teacher spread0.315 · 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