MétaCan
Menu
Back to cohort

Pragmatist Foundations of Research on Entrepreneurial Strategy

2024· article· en· W4400444425 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 Proceedings · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegional Economic Development and Innovation
Canadian institutionsMcGill University
Fundersnot available
KeywordsPragmatismEpistemologySociologyEngineering ethicsPolitical scienceManagement sciencePhilosophyEconomicsEngineering

Abstract

fetched live from OpenAlex

American pragmatism provides a rich intellectual foundation that accommodates diverse practices in service of “usefulness” and as such is well-suited to examine formation of entrepreneurial strategies that aim at changing the status quo, while facing fundamental uncertainty associated with such attempts. Research on entrepreneurial strategy drawing on pragmatism is burgeoning but remains dispersed across research communities. For example, one branch of such research focuses on how entrepreneurs adapt and evolve their ideas using scientific reasoning to test beliefs about (future) states of the world, while another branch focuses on the generative power of entrepreneurial agency employing abductive reasoning for creative world-making. There is, however, substantial potential for cross-pollination between such branches. This symposium will bring together a diverse group of leading scholars from these areas of research, to create a common ground of key pragmatist assumptions, raise open questions for future studies examining the phenomenon of entrepreneurial strategy formation, and chart opportunities for a fruitful (joint) research program.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.659
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.099
GPT teacher head0.355
Teacher spread0.256 · 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