MétaCan
Menu
Back to cohort
Record W4410215096 · doi:10.63855/skt.v3i2.49

Pengaruh Kepemimpinan, Kompetensi dan Disiplin Kerja terhadap Kinerja Pegawai Dinas Pertanian dan Perkebunan Kabupaten Bireuen

2024· article· en· W4410215096 on OpenAlexaff
Laila Mutia, Endang Syahriani, Mirza Mirza

Bibliographic record

VenueSingkite Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGynecologyChemistryMedicine

Abstract

fetched live from OpenAlex

The research aims to test hypotheses about the influence of leadership, competence and work discipline, partially and simultaneously on employee performance. The study was conducted at the Bireuen Regency Agriculture and Plantation Service. Data collection took the form of a survey through a questionnaire that was prepared and tested for validity and reliability. Carried out using an associative descriptive method with a path analysis approach. The research results prove that (1) there is a significant influence of leadership on the performance of Bireuen Regency Agriculture and Plantation Service employees, namely 43.01%. The influence of competence is 47.91% and the influence of work discipline is 43.41%. (2) Simultaneously, leadership, competence and work discipline contribute to increased performance by 46,5%. (3) There is a causal relationship between leadership and employee competency of 34.8%. The relationship between competency and employee work discipline is 48.3% and the relationship between work discipline and leadership is 41.4%.

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)0.001
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 score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.310
Teacher spread0.285 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueSingkite JournalSame topicEmployee Performance and ManagementFrench-language works237,207