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Record W4402285794 · doi:10.36985/b0f2z002

Keberadaan SMA Negeri 5 Pematangsiantar Terhadap Pendapatan Usaha Informal Masyarakat Sekitar Kelurahan Tambun Nabolon Kota Pematangsiantar

2022· article· id· W4402285794 on OpenAlexaff
Anthoni Purba, Marihot Manullang, Robert Tua Siregar, Sarintan E Damanik

Bibliographic record

VenueJurnal Regional Planning · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah menganalisis Analisis Keberadaan SMA Negeri 5 Pematangsiantar Terhadap Pendapatan Usaha Informal Masyarakat Sekitar Kelurahan Tambun Nabolon Kota Pematangsiantar. Populasi penelitian ini adalah seluruh tenaga pendidik dan kependidikan sebanyak 30 orang. Penelitian ini menggunakan regresi ganda, pengolahan data menggunakan SPSS. Dari hasil penelitian diketahui bahwa hasil analisis keberadaan SMA Negeri 5 Kota Pematangsiantar dengan pendapatan usaha informal masyarakat sekitar adalah 1,03 persen jadi dapat disimpulkan bahwa Keberadaan SMA Negeri 5 Pematangsiantar Terhadap Pendapatan Usaha Informal Masyarakat Sekitar Kelurahan Tambun Nabolon Kota Pematangsiantar memliki pengaruh. Penelitian ini memberikan sumbangan pemikiran dan saran kepada SMA di Kota Pematangsiantar dan kepada pemerintah melalui Dinas Pendidikan Provinsi Sumatera Utara. Meningkatkan mutu pendidikan membutuhkan dukungan partisipasi penuh dari seluruh masyarakat dan alumni

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.032
GPT teacher head0.276
Teacher spread0.244 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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