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Record W4319602691 · doi:10.1186/s42854-023-00048-w

Conceptualizing the potential of entrepreneurship to shape urban sustainability transformations

2023· article· en· W4319602691 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueUrban Transformations · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of WaterlooMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEntrepreneurshipSustainabilityEconomic geographyElement (criminal law)Intervention (counseling)Economic systemBusinessIndustrial organizationPolitical scienceEconomicsEcologyPsychology

Abstract

fetched live from OpenAlex

Entrepreneurship has emerged as a key element for experimentation and niche innovation in sustainability transitions. Yet, its contributions beyond this initial stage and the multi-pronged role that entrepreneurs can play in transformation processes remain elusive. In response, we conceptualize and empirically illustrate how entrepreneurs can contribute to innovations within firms and to city-wide processes of change. With insights from small- and medium-sized enterprises in European and North American cities, we develop a framework encompassing eight intervention types through which entrepreneurs shape urban sustainability transformations. We propose avenues for future research to better understand the distributed role of entrepreneurship and how it can contribute to shaping and accelerating change toward sustainability across integrated levels of urban transformations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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