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Record W4410358112 · doi:10.1080/08985626.2025.2504570

Fiction and the entrepreneurial imagination

2025· article· en· W4410358112 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

VenueEntrepreneurship and Regional Development · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPrivate Equity and Venture Capital
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAestheticsImaginationSociologyEconomic geographyArtPsychologyEconomicsCognitive psychology

Abstract

fetched live from OpenAlex

This article introduces a special issue on ‘Fiction and the Entrepreneurial Imagination’ with three main objectives. First, it provides a brief overview of existing scholarship related to the use of literature in management and entrepreneurship studies for readers unfamiliar with this perspective and its methodologies. Second, it reviews the ten articles included in the special issue, summarizing how they tackle key challenges in entrepreneurship research. Various literary forms – drama, poetry, novels, and music – offer insights into the complex nature of entrepreneurship by exploring the essence of possibility, the intricacies of path dependence, the formation of founder identity, and the influence of personal values, place attachment, and gender. These articles advocate for diverse perspectives on emancipatory entrepreneurship and encourage a more nuanced vocabulary to describe entrepreneurial actions and emotions. Together, these contributions highlight the role of imagination in shaping entrepreneurial paths. Finally, we suggest how literature can enhance entrepreneurship scholarship in ways that other perspectives and methodologies might not achieve.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.209
Teacher spread0.198 · 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