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Record W1500148120 · doi:10.1108/17511340710754716

The industrial revolution and beyond

2007· article· en· W1500148120 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

VenueJournal of Management History · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMeritocracyEntrepreneurshipPoliticsOriginalitySociologyValue (mathematics)Positive economicsPublic relationsDiversity (politics)Order (exchange)MarketingPolitical scienceSocial scienceEconomicsBusinessLaw

Abstract

fetched live from OpenAlex

Purpose To examine empirically a previously overlooked aspect of entrepreneurship: community “dis‐entrepreneurship”. Through the lens of political and historical theory, the authors propose learning from unusual circumstances of failure in order to inform social policy regarding factors that facilitate community entrepreneurship. Design/methodology/approach The paper draws on political and economic theory, formulating propositions that are tested using interpretive methods. Findings Strong patron‐client relations were found to negatively impact the formation of diversity and meritocracy necessary for entrepreneurial environments to thrive. They also account for an inward orientation that negatively influenced investments in infrastructure. Path dependent processes were found to hold sway regarding the stability of political/social norms. Originality/value This is the first paper of which the authors are aware that considers issues related to community dis‐entrepreneurship. The paper highlights the importance of effective community leadership.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.025
GPT teacher head0.213
Teacher spread0.187 · 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