MétaCan
Menu
Back to cohort
Record W3169321489 · doi:10.6000/1929-4409.2021.10.87

Public Policy: Inconsistency of Online and Conventional Land Transportation Regulations in Indonesia on Social Conflict Implications

2021· article· en· W3169321489 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveCitizen journalismData collectionPublic relationsPresentation (obstetrics)Qualitative researchQualitative propertyPublic transportSocial researchSociologyPolitical scienceTransport engineeringComputer scienceEngineeringSocial scienceLaw

Abstract

fetched live from OpenAlex

This scientific journal research analyzes a public policy on regulatory inconsistencies made by public officials that cause social conflict in society. The research problem focuses on PM 12/2019 regulations with UULLAJ/2009. The research approach method was qualitative. Creswell defines the qualitative method as a research method based on a constructive perspective, that is various meanings; meanings that are constructed socially and historically to develop a theory or pattern. The researchers collected and developed open data, intending to develop themes from the data obtained. This research aims to describe in depth the facts related to the inconsistency of regulations made by public officials which have an impact on the conflicts between the riders of online-based motorcycle taxi and conventional motorcycle taxi as land transportation in Indonesia. The data collection technique used document study. The observations carried out were passive participatory observations because the researchers only visited the research location and observed any events that occurred related to the conflict between online GOJEK riders and conventional OJEK riders in the research site. The research used interactive data analysis technique. Activities in data analysis consisted of: (1) data reduction; (2) data presentation; and (3) conclusion/verification. Based on the research data, it could be concluded that there were inconsistencies of public policy regulations regarding motorcycles (two-wheeled vehicles), as online-based public transportation vehicles based on PM 12/2019 with UULLAJ/2009, Article 47. In this case, motorcycles are not included in the category of public transportation types. The immediate solution should be made based on the results of research on online-based land transportation to date in Indonesia, since it has not been regulated by regulations on public transportation. Moreover, the technology platform service providers can no longer deny that their services are actually public transportation services. Online-based land transportation must also be regulated in the form of laws and regulations on public transportation and under the law on road traffic and transportation. This indicates that Law Number 22 of 2009 on Road Traffic and Transportation needs to be revised, and at the same time provides a legal protection for the regulations related to online-based land transportation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.738
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.142
GPT teacher head0.397
Teacher spread0.254 · 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