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Record W2732553081 · doi:10.21013/jems.v7.n3.p8

Effect of Teachers’ Own Perception of Their Profession on Job Satisfaction and Performance in the Private Primary Schools in Yei Town, South Sudan

2017· article· en· W2732553081 on OpenAlexaff
Alyaha Daniel Felix Ohide, Rosemary Wahu Mbogo

Bibliographic record

VenueIRA International Journal of Education and Multidisciplinary Studies · 2017
Typearticle
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsEmmanuel Bible College
Fundersnot available
KeywordsJob satisfactionPerceptionSimple random samplePsychologyAffect (linguistics)Data collectionSocial psychologyMedical educationSociologySocial scienceDemographyMedicine

Abstract

fetched live from OpenAlex

<div><p>Teachers often find themselves frustrated at work because of conflicting expectations concerning their professional and social roles within the community. This paper looks at the effect of teachers’ perception of their profession on their satisfaction at job and performance. The authors employ a survey design in private schools in Yei Town, South Sudan to establish the impact of these perceptions. Simple random sampling technique was used to select the respondents from ten private schools. The respondents’ therefore included 10 head teachers, 100 teachers giving a total of 110 respondents. Questionnaires were used for data collection. Data collected was analysed by the use of Statistical Package for Social Science (SPSS) version 12.0 was and presented in frequencies and percentages and a regression analysis performed to establish the relationships among the variables. The study findings indicated that a considerable number of the teachers (38.9%) indicated that teacher’s own perception of their own profession does not affect the teachers’ job satisfaction and performance.</p></div>

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 score0.112
Threshold uncertainty score0.269

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 communication0.0000.000
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 head0.053
GPT teacher head0.426
Teacher spread0.373 · 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
Published2017
Admission routes1
Has abstractyes

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