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Record W4391225251 · doi:10.1007/s11846-024-00727-3

Host versus home country influence on the immigrant entrepreneurial process: an imprinting perspective

2024· article· en· W4391225251 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueReview of Managerial Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersJavna Agencija za Raziskovalno Dejavnost RS
KeywordsImprinting (psychology)ImmigrationPerspective (graphical)Host (biology)BusinessDemographic economicsEconomicsGeographyBiologyEcologyComputer scienceGenetics

Abstract

fetched live from OpenAlex

Abstract Since its first use in organisational research, nearly five decades ago, imprinting has gained recognition in entrepreneurship studies. Accordingly, this study utilises the behavioural concept to develop new theorisations to account for the entrepreneurial processes of immigrant entrepreneurs. It pays attention on its effects on immigrant entrepreneurs, particularly when it comes to their decision–making and behaviours towards business creation in Canada. A comprehensive analysis of a dataset generated from a systematically selected group of immigrant entrepreneurs revealed the complexity of their imprints at various stages of their entrepreneurial cycle in the North American country. It emerged that imprinting not only modified their behaviours, attitudes and cognition, but also shaped the trajectory of their entrepreneurial processes. That is, their imprints had an effect on how they identified business opportunities, the types of businesses they pursued, their level of entrepreneurial drive, and the types of resources they acquired or accessed in their new environment. Notably, following a period of normalisation in their new surroundings, their original imprints changed due to diminishing affinity with their country-of-origin. This holds research and policy implications as it uncovers an unfolding but less-understood entrepreneurship phenomenon.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.018
GPT teacher head0.335
Teacher spread0.317 · 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