MétaCan
Menu
Back to cohort
Record W2894012983 · doi:10.1177/1042258718801597

Psychological Resilience and Its Downstream Effects for Business Survival in Nascent Entrepreneurship

2018· article· en· W2894012983 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

VenueEntrepreneurship Theory and Practice · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsQueen's UniversityConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEntrepreneurshipPsychological resilienceConstruct (python library)Resilience (materials science)PsychologyTest (biology)Social psychologyCognitionSociologyPositive economicsEconomics

Abstract

fetched live from OpenAlex

While scholars frequently argue that nascent entrepreneurs will be more successful if they are resilient, this assumption remains untested and the mechanisms for its potential benefits are unknown. To establish the utility of this psychological construct, we draw from Fredrickson's broaden-and-build theory (1998 ) to develop and test theory on the processes through which psychological resilience influences first-time entrepreneurs' business survival. Results of a time-lagged study of nascent entrepreneurs followed over a 2-year period support this theory, highlighting the cognitive and behavioral ways in which psychological resilience helps nascent entrepreneurs become less vulnerable to their stressful circumstances.

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)0.003
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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