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Entrepreneurial Motivations: What Do We Still Need to Know?

2010· article· en· 1,034 citations· W1917038169 on OpenAlex· 10.1111/j.1540-627x.2010.00312.x

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

Full frame distilled prediction

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.

Candidate categories
Scholarly communication
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Not applicableConsensus signal: none
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.818
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

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 communication0.0010.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.016
GPT teacher head0.226
Teacher spread
0.210 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

This paper attempts to renew interest in a line of research that largely has been ignored for two decades but which is critical to the study of entrepreneurial cognitions, intentions, and their conversion into entrepreneurial behaviors. That area is entrepreneurial motivation. This is not a comprehensive review of all areas of motivation research but rather a challenge a reinvigorate research efforts on an important aspect of the entrepreneurial process that has been examined only at the margins so far. It is an attempt to show how one very important topic, “entrepreneurial motivation,” still needs more study if we are to address the question of “have we learned anything at all about entrepreneurs?”

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.

The record

Venue
Journal of Small Business Management
Topic
Entrepreneurship Studies and Influences
Field
Business, Management and Accounting
Canadian institutions
Toronto Metropolitan University
Funders
not available
Keywords
MarketingEntrepreneurshipProcess (computing)PsychologyBusinessPublic relationsPolitical scienceComputer science
Has abstract in OpenAlex
yes