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Record W4317907985 · doi:10.52403/ijrr.20230144

Entrepreneurial Interest and Social Environment Towards Students’ Entrepreneurial Autonomy

2023· article· en· W4317907985 on OpenAlex
Aisyah Aisyah, Jahju Hartanti

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

VenueInternational Journal of Research and Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicVocational and Entrepreneurial Education
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsAutonomyEntrepreneurshipIndependence (probability theory)PsychologyMarketingBusinessPolitical scienceMathematics

Abstract

fetched live from OpenAlex

Youth entrepreneurial autonomy needs to be developed. Several programs that involve students in entrepreneurial activities demand a social environment and play an essential role in the development of student thinking to determine business strategies in entrepreneurship. The purpose of this study is to identify the profile of student independence in entrepreneurship. In addition, this study aims to analyze the influence of entrepreneurial interest and social environment on students' entrepreneurial autonomy. The method used is correlational, where the data collection uses questionnaires and data analysis using regression analysis assisted by the SPSS application. The results showed the independence of student entrepreneurship in the high category with a percentage of 94.11%. So, 5.89% of students with low entrepreneurial autonomy need a particular approach to develop their entrepreneurial independence. From the results of this study hoped the next research will implement of soft skills that increasing students' entrepreneurial autonomy who have low category. Keywords: entrepreneurial interest, social environment, entrepreneurial autonomy, entrepreneurial independence

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.499

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
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 head0.168
GPT teacher head0.489
Teacher spread0.321 · 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