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Record W3176829833 · doi:10.5430/ijhe.v10n6p122

The Degree of Graduates Suitability of the Faculty and Institutes of the Public Authority for Applied Education and Training for the Requirements of Labor Market in Kuwait from Employers Perspectives

2021· article· en· W3176829833 on OpenAlexvenueno aff
Talal Ibrahim Al-Mesad

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)Sample (material)Exploratory researchPublic sectorWork (physics)Higher educationPrivate sectorPopulationMedical educationPolitical scienceBusinessPsychologyPublic relationsSociologyEngineeringMedicineSocial scienceLaw

Abstract

fetched live from OpenAlex

The current study aimed at determining the suitability level for the faculties and institutes graduates of the Public Authority for Applied Education and Training and the requirements of the labor market in the State of Kuwait from the employers’ perspective in the public and private sectors. The study sample consisted of (2018) employers. A questionnaire was used after verifying its validity and stability. It was applied to an exploratory sample from the study population which are not included in the basic study sample. The results of the study showed that the suitability level of graduates of the Faculties and Institutes of the Public Authority for Applied Education and Training and the requirements of the labor market in the country Kuwait was moderate. The findings also revealed that there are statistically significant differences between the arithmetic means of the suitability level for graduates of faculty and institutes of the Public Authority for Applied Education and Training in favour of female employers, and differences were found according to the employer’s graduation organization in favour of the Authority’s graduates. Besides, the differences were found in both work sector in favor of the public work sector.

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)0.001
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 score0.196
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.106
GPT teacher head0.391
Teacher spread0.285 · 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

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