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Record W4415025399 · doi:10.51903/6hbq6097

PENGARUH MENTAL DAN MODAL TERHADAP MINAT BERWIRAUSAHA PADA MAHASISWA EKONOMI PEMBANGUNAN UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

2025· article· en· W4415025399 on OpenAlexaff
Worka Kholiq Panjaitan, Jaelani Jaelani

Bibliographic record

VenueDinamika · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVocational and Entrepreneurial Education
Canadian institutionsSt. Stephen's University
Fundersnot available
KeywordsDescriptive statisticsCapital (architecture)Variety (cybernetics)Regression analysisLinear regressionValue (mathematics)

Abstract

fetched live from OpenAlex

This study aims to examine the influence of mentality and capital on the entrepreneurial interest of Development Economics students at Universitas Muhammadiyah Sumatera Utara. Multiple linear regression analysis and descriptive correlational approaches are employed in this quantitative approach. 39 students using a variety of sampling methodologies made up the sample. The study's findings show that, partially and concurrently, financial and mental resources significantly and favorably influence entrepreneurial interest. Entrepreneurial desire is influenced by both mental and capital factors, according to the determination coefficient value of 36.7%.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.292
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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