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Record W3034474273 · doi:10.36574/jpp.v4i2.119

Bekerja dari Rumah (Working From Home/WFH): Menuju Tatanan Baru Era Pandemi COVID 19

2020· article· id· W3034474273 on OpenAlexaff
Oswar Mungkasa

Bibliographic record

VenueJurnal Perencanaan Pembangunan The Indonesian Journal of Development Planning · 2020
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicImpulse Buying and Technology Impacts
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesTelecommutingArtPhysicsWork (physics)

Abstract

fetched live from OpenAlex

Skema Work From Home (WFH) merupakan bagian dari konsep telecommuting (bekerja jarak jauh), yang merupakan hal biasa dalam dunia kerja dan perencanaan kota. Walaupun demikian, konsep ini biasanya diberlakukan dalam kondisi normal dan bukan karena adanya pandemik seperti sekarang ini. Makalah ini berupaya memberikan gambaran tentang konsep telecommuting (bekerja jarak jauh) atau working from home/WFH (bekerja dari rumah) berikut pembelajarannya, disertai langkah yang perlu dilakukan oleh seluruh pemangku kepentingan baik pemerintah, swasta maupun masyarakat umum. Agar kemudian penerapannya dalam jangka panjang dapat lebih optimal ketika kita semua dapat memahami, mengatisipasi dan beradaptasi dengan lebih baik terhadap konsep ini. Konsep ini diharapkan dapat menjadi bagian dari tatanan baru (new normal) dari kehidupan keseharian kita sehingga penerapan telecommuting menjadi suatu keniscayaan.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.003
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0290.005

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 head0.074
GPT teacher head0.253
Teacher spread0.179 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations280
Published2020
Admission routes1
Has abstractyes

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