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Record W2110015782 · doi:10.5430/ijba.v4n6p145

Enjoyment of Statutory Employee Rights? A Myth or a Reality in Ghana?

2013· article· en· W2110015782 on OpenAlexvenueno aff
Majoreen Osafroadu Amankwah, Olivia Anku-Tsede

Bibliographic record

VenueInternational Journal of Business Administration · 2013
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawBusinessCompliance (psychology)Private sectorEmpirical evidenceEmpirical researchPublic sectorHuman rightsMythologyLabour economicsAccountingEconomic growthEconomicsLawPolitical science

Abstract

fetched live from OpenAlex

This study used empirical evidence to examine the extent of compliance with various labour regulations amongst private and public sector organisations. The study was conducted in Accra with data collected from 126 respondents between the period June and December, 2012. Accra was selected because it seats the headquarters of most organisations, where the HR unit is usually stationed. The study provided in-depth insight into the nature and extent of the violations of employee rights in Ghana. It suggests that whilst most HR managers complied with most of the provisions of the Labour Act, some provisions were ignored, in spite of its consequences. The findings of this study would help policy makers and regulators provide an effective mechanism to protect employee rights and ensure an effective compliance with labour regulations.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.076
GPT teacher head0.423
Teacher spread0.347 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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