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Record W4237328178 · doi:10.1561/0300000055

The Microfoundations of Entrepreneurial Cognition Research: Toward an Integrative Approach

2015· article· en· W4237328178 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

VenueFoundations and Trends® in Entrepreneurship · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsBrock UniversityWestern University
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

In this monograph, we adopt a microfoundations-type approach to understanding the present state of the field of entrepreneurial cognition research. The notion of microfoundations — which link micro concepts to macro concepts [Barney and Felin, 2013] — is increasingly being utilized to unbundle compound processes, and thereby to generate improved explanations in social science research. From its roots in psychology, we selectively review and trace the progress of the field of entrepreneurial cognition research over time, and we make a case for socially situated cognition as a new and useful framework in which the microfoundations of some of the emerging and more dynamic approaches to the study of entrepreneurs’ thinking can be understood and organized. We also outline some productive directions for future entrepreneurial cognition research. We believe that the review of these earlier roots enables the reader to more fully appreciate how the development of social cognition research intertwines with other fields in influencing the current state of entrepreneurial cognition research.

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)0.005
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.415
GPT teacher head0.507
Teacher spread0.091 · 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