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Record W7000500465

FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN BERINVESTASI DI PLATFORM PEER TO PEER LENDING DI KOTA PADANG

2023· dissertation· id· W7000500465 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.

Bibliographic record

VenueAndalas University eThesis (Andalas University) · 2023
Typedissertation
Languageid
FieldBusiness, Management and Accounting
TopicFinancial Literacy and Behavior
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsResearch dataResearch methodData collection
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui pengaruh persepsi resiko, jaminan struktural, persepsi reputasi, dan pengetahuan P2PL terhadap keputusan investasi di platform P2PL. Data penelitian diperoleh langsung oleh peneliti dari penyebaran kuesioner kepada 100 responden. Metode pengambilan sampel dalam penelitian ini ialah metode purpose sampling. Pengolahan data dalam penelitian ini menggunakan metode analisis regresi linear berganda dengan alat bantu software SPSS. Hasil penelitian menunjukkan bahwa Persepsi Resiko, Jaminan Struktural, Persepsi Reputasi berpengaruh signifikan terhadap keputusan investasi di platform P2PL. Sedangkan variabel Pengetahuan P2PL tidak berpengaruh terhadap keputusan investasi P2PL.
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\nKata Kunci: Peer to Peer Lending, Persepsi Resiko, Jaminan Struktural, Persepsi Reputasi, Keputusan investasi

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.597
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.005
Science and technology studies0.0040.000
Scholarly communication0.0010.005
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.025
GPT teacher head0.225
Teacher spread0.200 · 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