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Record W4415183140 · doi:10.31869/rtj.v8i2.6699

FAKTOR KEBERHASILAN UTAMA PADA PEKERJAAN PROYEK KONSTRUKSI JALAN DI PROVINSI SUMATERA BARAT

2025· article· en· W4415183140 on OpenAlex
Mart Fisher, Lusi Utama, Bahrul Anif

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

VenueRang Teknik Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsWorkforceRoad constructionConstruction industryData collectionKey (lock)

Abstract

fetched live from OpenAlex

The success of a project is the primary goal for companies engaged in construction services. The aim of this study is to identify the factors influencing the main success of contractors in road construction projects in West Sumatra Province and to propose solutions for improving contractor performance in future construction projects using the POAC method. This study employs a quantitative approach, utilizing questionnaires to collect data. The research results reveal six key factors affecting the primary success of contractors in road construction projects in West Sumatra Province: Physical Evidence, Reliability, Responsiveness, Assurance, Empathy, and Workforce factors.Keywords: Success, Project, Factors, POAC

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.415
Teacher spread0.386 · 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