MétaCan
Menu
Back to cohort
Record W4381330485 · doi:10.54313/journalmp.v3i.96

Sistem Jawatankuasa Pilihan Khas di Dewan Rakyat, Parlimen Malaysia: Penilaian Kritikal terhadap Instrumen Semak dan Imbang Legislatif

2023· article· en· W4381330485 on OpenAlexaff
Muthanna Saari

Bibliographic record

VenueJournal of the Malaysian Parliament · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsWiLAN (Canada)
FundersNIH Office of the Director
KeywordsParliamentLegislatureAccountabilityGovernment (linguistics)Public administrationCorporate governancePolitical scienceFunction (biology)Value (mathematics)LawPublic relationsManagementPoliticsComputer scienceEconomics

Abstract

fetched live from OpenAlex

The core functions of parliament, namely, legislative, oversight and representative, reflect the significant contribution of parliament institutions to the overall governance of the country. These roles add value to the Executive’s activities while at the same time legitimising their actions. The role of parliament in ensuring good governance is manifested through the representation function and the government’s accountability in parliament. This paper aims to examine the role of checks and balances in the legislature through the Special Select Committee System in the Dewan Rakyat, Parliament of Malaysia. The paper first gives a brief overview of the background of the establishment of the current Special Select Committee System in the Dewan Rakyat, followed by a comparison with select committee systems in the United Kingdom, Australia and New Zealand. Next, this paper analyses the strength and possible improvements of the Special Select Committee System before concluding with serious considerations for its strengthening as a way forward for the realisation of the Special Select Committee System for legislative bodies in Malaysia.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.021

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 studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.282
Teacher spread0.258 · 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
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Malaysian ParliamentSame topicLinguistic, Cultural, and Literary StudiesFrench-language works237,207