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Cultural Entrepreneurship: Four Domains of Inquiry

2024· reference-entry· en· W4404509738 on OpenAlexaff
Jean‐François Soublière, Christi Lockwood

Bibliographic record

VenueOxford Research Encyclopedia of Business and Management · 2024
Typereference-entry
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEntrepreneurshipSociologyEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Cultural entrepreneurship research investigates the many cultural means and processes by which innovative courses of action come to fruition. Although commercial and technological concerns clearly matter, this area of research draws much-needed attention to the meaning-making activities that underpin entrepreneurship, innovation, and change. For instance, entrepreneurs tell stories that convey how their endeavors came to be and what they could accomplish. Innovators challenge the boundaries of familiar market categories and bring forward products that customers may not yet be equipped to understand. Creators develop novel experiences that challenge established conventions in surprising ways. In all these situations, entrepreneurial actors must harness their cultural context to convey the value of their endeavors to targeted others, including both external audiences and other related actors. In turn, these targeted others also draw on their cultural context to ascribe value to endeavors and decide whether to confer their attention and support. Expanding beyond more traditional views of entrepreneurship, which focus on the creation or exploitation of profitable opportunities, cultural entrepreneurship scholars recognize that entrepreneurial action is always embedded in its cultural context. This context provides a rich pool of cultural resources—that is, values, beliefs, practices, vocabularies, identities, logics, symbols, and practices—that entrepreneurial actors assemble, combine, or develop to bring innovative courses of action to fruition. These innovative courses of action are not limited to economic or technological pursuits but encompass a wider range of entrepreneurial possibilities, including the creation of new products and services as well as efforts to foster strategic change, advance social innovations, or tackle grand challenges, for instance. Cultural entrepreneurship has developed into a vibrant area of research, examining a variety of outcomes at different levels of analysis. Four distinct domains of inquiry can be gleaned from this. Two of the domains speak to the interplay between entrepreneurial actors—be they individuals, organizations, or broader collectives—and their external audiences. The first domain, entrepreneurship and innovation, uncovers the cultural processes by which entrepreneurial actors win the backing of external audiences, such as potential investors, market analysts, or customers. The second domain, market mediation and activism, draws attention to the active influence that external audiences have on the innovative courses of action that actors pursue, and how they do so. The last two domains speak to the interplay between focal actors and other related actors. The third domain, market creation and strategy, focuses on how actors shape the collective boundaries of given market categories, and what other related actors do within these boundaries. Finally, the fourth domain, intrapreneurship and organizational change, examines how actors account for what other related actors do too, and how they develop their organizational capacity to innovate and create innovative courses of action. Despite their different emphases, these four domains are united by a common interest in understanding how entrepreneurial actors bring innovative courses of action to fruition and the broader meaning systems in which such efforts are embedded.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.010
Science and technology studies0.0100.063
Scholarly communication0.0260.021
Open science0.0030.019
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.130
GPT teacher head0.371
Teacher spread0.241 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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