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Record W2026255226 · doi:10.1177/0276146715573834

Experiential Learning Projects

2015· article· en· W2026255226 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

VenueJournal of Macromarketing · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Marketing Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExperiential learningMacromarketingCurriculumMarketingExperiential educationKnowledge managementSociologyBusinessPedagogyComputer science

Abstract

fetched live from OpenAlex

Marketing managers best equipped to transfer their knowledge across increasingly complex and dynamic market contexts will be those who have learned to frame managerial decisions in terms of the broad moral, political, and social contexts in which those decisions reside. Undergraduate marketing curricula that emphasize the study of micro-marketing topics rather than macromarketing topics have not delivered the critical thinking skills marketing students need to function and adapt to increasingly dynamic business environments. Experiential Learning Theory offers a framework for instructors to design projects that incorporate systems-level perspectives while encouraging rigorous marketing decision-making. We review literature on experiential learning to highlight how aspects of experience-based pedagogy align with the aims of macromarketing education. Then we describe two projects as examples of how experience-based projects teach managerial decision-making and foster understanding of the broader societal role of marketing. We propose using experience-based projects as pedagogical tools that deliver on the field’s commitment to managerial education and restore marketing education to its systems-level roots.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.029
GPT teacher head0.253
Teacher spread0.224 · 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