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Record W1576193132 · doi:10.5539/ass.v11n16p9

Sexual Harassment in the Workplace: Selected Court Cases and New Legal Provisions in Malaysia

2015· article· en· W1576193132 on OpenAlexvenueno aff
Kamal Halili Hassan, Yee Zing Lee

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsHarassmentRedressPunishment (psychology)DismissalLawGovernment (linguistics)BusinessPolitical scienceCriminologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

This paper examines the new legal provisions on sexual harassment in the workplace in Malaysia. Prior to the enactment of the new provisions into the Employment Act 1955, the guidelines for sexual harassment were in the form of a Code of Practices. An employee could only obtain legal redress from the courts on the grounds of constructive dismissal after resigning. The employee concerned could also lodge a police report, but the criminal punishment imposed on the offender did not include compensation for loss suffered by the employee. In addition, there was no clear legal redress protecting the employee suffering from sexual harassment while still on the job. Recognizing these inadequacies, the Malaysian government amended the Employment Act 1955 in 2012 by introducing Part XVA on sexual harassment. Results of sexual harassment cases decided by the Industrial Court have been mixed favoring both the dismissed employees as well as employers. The research method adopted in this paper is legal analysis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.059
GPT teacher head0.370
Teacher spread0.311 · 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 designObservational
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

Citations5
Published2015
Admission routes1
Has abstractyes

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