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Record W4309609219 · doi:10.33087/jmas.v7i2.740

Pengaruh Motivasi terhadap Kinerja Pegawai Kecamatan Penukal (Pali) Melalui Employee Engagement

2022· article· en· W4309609219 on OpenAlexaff
Anjasmara Anjasmara, Muji Gunarto

Bibliographic record

VenueJ-MAS (Jurnal Manajemen dan Sains) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsEmployee engagementPsychologyBusiness administrationPopulationSample (material)Employee motivationManagementBusinessSocial psychologyPublic relationsSociologyPolitical scienceDemography

Abstract

fetched live from OpenAlex

Employees have an important role in achieving company goals. Objectives in this research to know the motivation of the employee performance in the office of subdistrict tripe district pali through employee engagement. The public in this study population the office of subdistrict of tripe kaupaten Pali, large sample of the research is 50 officials in the office of subdistrict of tripe sub-district Pali. This study using primary data obtained from the questionnaire and analysis techniques used was a SEM. The result of the research indicated that the impact on the employee performance, employee engagement influences the employee performance, effect on employee motivation engagemen, employee engagement mediate influence motivation for the employee performance in the office of subdistrict tripe district pali 2022 years.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.300
Teacher spread0.264 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations2
Published2022
Admission routes1
Has abstractyes

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