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Record W2805859035 · doi:10.5539/ies.v11n6p164

Vocational Adjustment Level of Employees at Irbid University College

2018· article· en· W2805859035 on OpenAlexvenueno aff
Mufadi Al-Momani

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsVocational educationPsychologySample (material)Significant differenceVariable (mathematics)Mathematics educationSocial psychologyStatisticsMathematicsPedagogy

Abstract

fetched live from OpenAlex

The current study aimed to detect the vocational adjustment level of employees at Irbid University College, and to achieve this goal the study tool; vocational adjustment measurement was developed by the researcher and implemented, after confirming its constancy, stability, and truthfulness, which consist of (36) paragraphs spreading over four dimensions (The reality of work climate, physical income, relationship with co-workers, and relationship with management) on the study populations which consist of (141) employees, and the respondents of (121) of those were subject to the statistical analysis. The study results showed the overall vocational adjustment level of employees at Irbid University College to be medium, where all the dimensions came at medium level, in the order (The reality of working climate, physical income, relationship with coworkers, and relationship with management). The study results also showed the existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the sex variable, and in favor of males, and the existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the years of experience variable, and in favor of employees with years of experience of (10 years or more), and also the non- existence of statistically significant difference at level (α = 0.05) between the two arithmetic means of study sample member estimates on all dimensions of vocational adjustment measurement, and on it all together, due to the interaction between the two variables of sex and years of experience.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score1.000

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)0.0030.001

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 head0.299
GPT teacher head0.466
Teacher spread0.168 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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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