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Record W2808864666 · doi:10.5539/ass.v14n7p70

Legal Regulations of Flexible Working in Jordan

2018· article· en· W2808864666 on OpenAlexvenueno aff
Ibrahim Saleh Al Sarairah

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsLegislatorSubordination (linguistics)Subject (documents)BusinessLawWork (physics)DisciplineWageEmployment contractPrivity of contractFreedom of contractLaw and economicsLegislationExclusion clauseContract managementComputer sciencePolitical scienceSociologyEngineering

Abstract

fetched live from OpenAlex

The flexible working system in Jordan for the year 2017 represents a qualitative leap in the field of work, for providing an easy work for the workers, especially the working woman, which enables her to enter the labor market. However, this system has many conditions that must be met in flexible working contract in terms of a written agreement between the worker and the employer and the time limit and specified some categories that are subject to flexible working.The flexible working system collides with some general principles of the labor law, such as the legal subordination, and the disciplinary authority of the employer in imposition of disciplinary sanctions in the event that the worker violates the flexible working rules.The study concluded with a number of results, the most important is that the flexible working contract is a formal contract in which the writing is required. The Jordanian legislator ruled out the event from the workers who are subject to the flexible working system.The most important recommendations were, It is necessary explicitly state that the rights of the worker may be established in the flexible working contract by all means of legal proofs. If the contract was not issued in writing, it is necessary to stipulate that the wage might be determined in the flexible working contract on a daily or weekly basis.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.302
Teacher spread0.278 · 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 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
Published2018
Admission routes1
Has abstractyes

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