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Record W2164461303 · doi:10.5539/ijms.v7n1p190

The Role of Internal Environment in Jordanian Ministry of Health in Migration of Specialist Doctors

2015· article· en· W2164461303 on OpenAlexvenueno aff
Salah M. Diab

Bibliographic record

VenueInternational Journal of Marketing Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsnot available
FundersApplied Science Private University
KeywordsSalaryChristian ministryIncentiveMarital statusPsychologyTest (biology)BusinessOrder (exchange)Sample (material)NursingMedicineEnvironmental healthPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

The aim of this study was to determine the role of internal environment in Jordanian ministry of health in migration of specialist doctors. In order to achieve this goal, a questionnaire was designed. It consists of (30) thirty clauses reflect all the dependent and independent variables. The study sample consists also of (120) Specialists who left the Jordanian Ministry of Health (J.M.O.H). Grynbach constancy coefficient reached 88%. Percentages, Means, standard deviation, (ANOVA), and leaner regression analysis were used to test the hypothesis. The study found that; there is a strong relationship between all the internal environment components in the (J.M.O.H) and migration of specialist doctors. All the internal environment components effect the migration of specialist doctors. The descending order of the effects of the internal environment components are as follows: salaries and incentives, equipment, furniture and office design, administrative style, systems and procedures, lighting and conditions, and finally the nature of the prevailing relations. The study also found that there is a difference in the migration between specialist doctors due to gender, marital status, age, and experience. According to the study findings, the researcher recommends the following; the hospital managers must give more attention to the internal environment conditions, initiate a new suitable salary scale, and give special training programs in hospital administration for those doctors.

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)0.011
metaresearch head score (Gemma)0.002
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 score0.255
Threshold uncertainty score0.376

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
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 head0.033
GPT teacher head0.349
Teacher spread0.316 · 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
Published2015
Admission routes1
Has abstractyes

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