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Record W4403095109 · doi:10.52617/jaim.v5i1.561

PUBLIC SERVICE MANAGEMENT: A BIBLIOMETRIC ANALYSIS STUDY

2024· article· id· W4403095109 on OpenAlex

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

VenueJurnal Abdimas Imigrasi · 2024
Typearticle
Languageid
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPublic serviceBibliometricsService (business)Knowledge managementComputer scienceBusinessPolitical scienceLibrary sciencePublic relationsMarketing

Abstract

fetched live from OpenAlex

Penelitian dilakukan untuk menganalisis kajian terkait Manajemen Layanan Kepada Masyarakat. Cara mengetahui perkembangan tersebut dengan melakukan analisis terkait perkembangan penelitian manajemen layanan masyarakat. Data terkait penulis yang melakukan kolaborasi penelitian dan siapa penulis yang paling berpengaruh dalam kajian manajemen layanan masyarakat dikaji menggunakan analisis dokumen di Scopus. Sedangkan analisis kata kunci dan penulis yang saling terhubung satu dengan lainnya menggunakan software VosViewer. Untuk melihat penulis yang paling produktif menggunakan tabulasi prisma dari Harzing’s Publish or Perish. Hasil analisis menunjukkan bahwa kajian terkait manajemen layanan masyarakat belum banyak dikaji oleh para peneliti, hal ini dapat dilihat dari hasil screening di Scopus menggunakan kata kunci “Community Service Management”. Hasil menunjukkan hanya terdapat 3 artikel yang membahas terkait kata kunci tersebut. Kesimpulannya adalah penelitian ini masih harus di eksplorasi lebih lanjut mengingat pentingnya kajian terkait pengabdian kepada masyarakat.

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 categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesBibliometrics, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0550.297
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.013

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 head0.038
GPT teacher head0.251
Teacher spread0.212 · 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