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Record W4386387508 · doi:10.55908/sdgs.v11i5.764

Malaysian Street Rally: A Threat to the Nation or Human Security

2023· article· en· W4386387508 on OpenAlexaff
Azrul Azlan Abd Rahman

Bibliographic record

VenueJournal of Law and Sustainable Development · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsOriginalityContext (archaeology)PhenomenonPoliticsPublic securityHuman rightsNational securityHuman securityOrder (exchange)Political scienceValue (mathematics)Social securityPublic administrationPublic relationsLawSociologyCriminologyBusinessGeographyComputer science

Abstract

fetched live from OpenAlex

Aim: Rally or street demonstration is not considered a new phenomenon in Malaysia. Organising rallies or street protests are often associated with the crime act of public order that can jeopardise national security. Methodology: The issue of street demonstrations can also be viewed from the context of the clash between national security and human security regime. Results: This paper will take an academic approach to discuss more objectively on street rally from four main perspectives, namely: i) Street Rally from The Perspectives Of Law And Security ii) Human Rights And Civil Demands; And iii) Public Reactions And It’s Implication In The Political, Economic, And Social Aspects. Conclusion: Based Interview and literature reviews, this paper will conclude a comprehensive analysis about the street demonstrations by focusing on aspects of human security and ways to deal with this phenomenon in the context of nation building in Malaysia. Originality/Value: this study was conducted for Organising rallies or street protests are often associated with the crime act of public order that can jeopardise national security

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.006
Scholarly communication0.0040.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.330
Teacher spread0.298 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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