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Founding Team Fundamentals: New Perspectives on the Inner Workings of Founding Teams

2024· article· en· W4400439773 on OpenAlexaff
Audra Grace Quinn, Raja Singaram, Nicola Breugst, William B. Gartner, Moran Lazar, Davide Bavato, Alisa Boguslavskaya Jno-Charles, Miruna Radu-Lefebvre, Gilad Chen, Brent Goldfarb, Marc Gruber, Holger Patzelt, Manuel Braun, Darren Meister, Denis A. Grégoire

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsEngineering ethicsManagementPublic relationsSociologyEngineeringPolitical scienceEconomics

Abstract

fetched live from OpenAlex

We are at a critical juncture in the study of entrepreneurial teams, as much work has emerged in the last few years. While scholars have defined what an entrepreneurial team is, the field lacks a standard definition of what it means to be a founder, an integrative theory of how cofounders come together, and an understanding of the implications of different approaches to forming and adapting a founding team. With these gaps in mind, we have convened scholars doing important research addressing these key topics to present their cutting-edge work. Founding Team Fundamentals: New Perspectives on the Inner Workings of Founding Teams Author: Audra Grace Quinn; U. of Southern California - Marshall School of Business

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.292
Teacher spread0.261 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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