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Record W2004076053 · doi:10.5539/hes.v1n2p121

Peace Management and Enhanced Academic Performance of Tertiary Institutions in South-South Nigeria

2011· article· en· W2004076053 on OpenAlexvenueno aff
Victor O. Ebuara, Uduak Imo Ekpoh

Bibliographic record

VenueHigher Education Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumEnforcementPopulationConflict managementTest (biology)Conflict resolutionHigher educationMedical educationPolitical sciencePsychologySociologySocial sciencePedagogyMedicineLaw

Abstract

fetched live from OpenAlex

This study was embarked upon with a view to examining the need for peace in the management of tertiaryinstitutions towards enhancing academic performance in south-south Nigeria. Three hypotheses and one researchquestion guided the study. One thousand, two hundred and nineteen (1219) academic and non-academic staff wereselected for the study. A 31 item researcher developed questionnaire was used to collect data from the sampled staffin their respective institutions. Population t-test and mean scores were used to analyze data collected. Findings showthat peace was advocated but there were serious inadequacies in the implementation and enforcement process ofpeace. Proposed peace was scarcely enforced to the detriment of academic performance. The manner and approachto existing peace management does not actually address the issue of peace building. Based on the findings,recommendations were made which included among others, that conflict resolution and peace education coursesshould be introduced in the school curriculum.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.577
Threshold uncertainty score0.277

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)0.0000.000

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 head0.104
GPT teacher head0.381
Teacher spread0.277 · 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

Citations5
Published2011
Admission routes1
Has abstractyes

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