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Record W4410215157 · doi:10.63855/skt.v3i2.46

Pengaruh Kepemimpinan, Kepuasaan Kerja dan Komitmen Organisasi terhadap Organizational Citizenship Behavior (OCB) Pegawai Kantor Pertanahan Kabupaten Bireuen

2024· article· en· W4410215157 on OpenAlexaff
Enik Wijayanti, Muhammad Yusuf, Mahyu Danil

Bibliographic record

VenueSingkite Journal · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsOrganizational citizenship behaviorPolitical scienceManagementOrganizational commitmentPsychologyPublic relationsEconomics

Abstract

fetched live from OpenAlex

This research was proposed to find out how much influence Leadership, Job Satisfaction and Organizational Commitment have on the Organizational Citizenship Behavior of Bireuen Regency Land Office Employees. The data collection method used in this research was by administering questionnaires to 46 respondents at the Bireuen Regency Land Office. Data collection techniques through open interviews, questionnaires and supporting documentation. The analysis technique in this research uses multiple linear regression analysis. The research results show that the independent variable simultaneously has a significant influence on the dependent variable. Variables consisting of Leadership, Job Satisfaction and Organizational Commitment partially and simultaneously influence the Organizational Citizenship Behavior of Bireuen Regency Land Office employees

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 score0.005
Threshold uncertainty score0.017

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 studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.031
GPT teacher head0.247
Teacher spread0.216 · 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
Published2024
Admission routes1
Has abstractyes

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