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Record W1903100423 · doi:10.5539/ass.v11n24p62

The Development of Teachers’ Career in Relationship to OCB and Justice: A Study in Malaysia

2015· article· en· W1903100423 on OpenAlexvenueno aff
Ummi Naiemah Saraih, Hassan Ali, Shaiful Annuar Khalid

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyInteractional justiceProcedural justiceContext (archaeology)Distributive justiceEconomic JusticeSocial psychologyPromotion (chess)ModerationOrganizational citizenship behaviorOrganizational justiceOrganizational commitmentPolitical scienceLaw

Abstract

fetched live from OpenAlex

This study is conducted to examine the relationship between organizational citizenship behaviour (OCB) and teachers’ Career Advancement (CA) in the context of the Malaysian teachers. Two aspects of teachers’ CA such as number of promotion (NOP) and career satisfaction (CS) have been investigated in this study. This study also explores the roles of justice (distributive justice, procedural justice, interactional justice) as moderator in the relationship between OCB and CA. The data was gathered through mail survey method from 390 respondents. First, the result showed that OCB was not significantly related to NOP as well as to CS. Second, this study found that all factors of justice were the predictor to CS but not to NOP. The results also found that there was a significant interaction between OCB and distributive justice to NOP and CS. This study contributed some new knowledge which can be channeled to the Ministry of Education (MOE) to improve the level of OCB, justice and teachers’ CA, particularly in the Malaysian context.

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 score0.025
Threshold uncertainty score0.180

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.055
GPT teacher head0.308
Teacher spread0.253 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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