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Record W4391682804 · doi:10.5465/amle.2023.0103

The Unstated Ontology of the Business Case Study: Listening for Indigenous Voices in Business School Curricula

2024· article· en· W4391682804 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

VenueAcademy of Management Learning and Education · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of VictoriaSimon Fraser University
Fundersnot available
KeywordsActive listeningIndigenousOntologyCurriculumBusiness caseBusiness analysisPolitical scienceSociologyManagementPedagogyBusiness modelBusinessMarketingEconomicsEpistemologyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

In this work, we examine how business case studies can support decolonial Indigenization efforts in business schools. Through our inductive analysis of business case studies from top publishers in this area (Harvard Business Publishing and Ivey Publishing), we identify a set of ontological assumptions that undergird the construction of traditional, Western business case studies and ultimately undermine Indigenous ways of knowing and organizing. Specifically, we find that the case studies stem from an uncritical Western ontology, particularly in relation to the construct of “development,” which diminishes the positionality of Indigenous Peoples in our own stories. We demonstrate how case studies can support decolonial Indigenization by crafting them in ways that uphold Indigenous ontologies. Finally, we uncover how a reconsideration of case writer positionality, Indigenous “voice” in business education, and Indigenous conceptions of development can enable case crafting in service of decolonial Indigenization.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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