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Record W4402628613 · doi:10.54313/journalmp.v4i.118

Measures to Mitigate Covid-19 in the Dewan Rakyat (House of Representatives) of Malaysia: Implications to Parliamentary Privileges

2024· article· en· W4402628613 on OpenAlexaboutno aff
Muthanna Saari

Bibliographic record

VenueJournal of the Malaysian Parliament · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCOVID-19 Prevention and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsHouse of RepresentativesCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BusinessPolitical scienceLawLegislatureMedicineVirology

Abstract

fetched live from OpenAlex

The surge of Covid-19 cases worldwide has had its impact on how every institution discharges its functions, including the legislature. Governments, under the pretext of containing the spread of the virus, have paralysed parliament and incapacitated it from performing its duties, particularly its oversight function. This article explores the extent to which the standard operating procedures (SOP) for Covid-19 in the Dewan Rakyat (House of Representatives) of Malaysia should be permitted under the Federal Constitution of Malaysia on parliamentary procedure. Despite attempts to restrict parliament in many countries, legislatures such as in Canada, Australia and Brazil have demonstrated their ability to adapt and move progressively to minimise disruptions that the pandemic might cause toparliament. Taken together, legislatures’ responses in times of Covid-19 offer an interesting impression of parliamentary privileges while also raise an important question of the role of parliament in representing people and checking the government actions.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.321
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.058
GPT teacher head0.403
Teacher spread0.345 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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