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Record W3133622448 · doi:10.5539/jpl.v14n1p114

The Impact of Corona Pandemic on Legal Protection of Jordanian Employee's Right to Salary and Its Extensions

2021· article· en· W3133622448 on OpenAlexvenueno aff
Walid Al qadi

Bibliographic record

VenueJournal of Politics and Law · 2021
Typearticle
Languageen
FieldMedicine
TopicLegal, Health, Environmental and COVID-19 Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsWaiverSalaryLawLegislatureCabinet (room)Public servicePolitical scienceLabour lawBusinessEngineering

Abstract

fetched live from OpenAlex

The topic of the study is of special importance, as it relates to the source of public employee income and contemplates unusual events imposed by the Corona pandemic; Led to multiple preventive measures being taken to counter them; including the validity of the emergency defense law, which has multiple effects at all levels. To address negative economic conditions, administrative decisions were issued by the Cabinet against employees, which led to a reduction in their salaries and benefits. Hence, the study problem arose. Because it was not issued by the authority specified by the Defense Law which gives this authority to the Prime Minster, and accordingly many decisions exceeded its established legal rules and specific constitutional texts. The study aims to shit light on many aspects pertaining to the legal protection of Jordanian employee's right to salary and the basis on which the administration can modify it? We reached a set of results, most notably: The validity of the Defense Law specifically gives the Prime Minister, and not the Cabinet, the power to take exceptional measures to face the exceptional circumstance, by invoking exceptional legal rules stipulated by this law and not on the ground of the Civil Service Regulation. The most important recommendation was to cancel the new amendment of Article (193) of the Civil Service Regulation in line with the rule of legislative progression, as it contradicts the defense law and constitutes a violation of the constitutional provisions.

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)0.000
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 score0.803
Threshold uncertainty score0.199

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 studies0.0000.000
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 head0.037
GPT teacher head0.329
Teacher spread0.293 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Politics and LawSame topicLegal, Health, Environmental and COVID-19 ChallengesFrench-language works237,207