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Record W2897065388 · doi:10.5430/ijhe.v7n5p150

Principals’ Perception of Misconduct among Secondary School Teachers in Delta State: Implications for Counselling Practice

2018· article· en· W2897065388 on OpenAlexvenueno aff
Anna Onoyase

Bibliographic record

VenueInternational Journal of Higher Education · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Substance Use and School Attendance
Canadian institutionsnot available
Fundersnot available
KeywordsTruancyMisconductAbsenteeismPerceptionPsychologyTest (biology)AttendanceMedical educationSocial psychologyMedicinePolitical scienceCriminology

Abstract

fetched live from OpenAlex

This study investigated Principals’ Perception of misconduct among Secondary School teachers in Delta State. Four research questions and four hypotheses were formulated to guide the study. The instrument used for collection of data was tagged “Principals’ Perception of Teachers Misconduct Questionnaire” (PPOTMQ). For content validity, the instrument was given to some lecturers in the Department of Guidance & Counselling who scrutinized it and made some corrections. The test-retest method of reliability was employed and the co-efficient of 0.72 was obtained. The sample consisted of 100 principals. The t-test statistics was employed to test the hypotheses at 0.05 level of significance. Results of the study revealed that absenteeism, lateness, truancy and poor quality teaching were perceived by principals as forms of misconduct in public secondary schools. Recommendations that were proffered include; monitoring teams should be put in place by school authorities to supervise teachers’ attendance in class as well as their teaching, inspectors from the Post-Primary Education Board should pay regular unscheduled visits to secondary schools to act as a check on teachers’ absenteeism.

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 score0.138
Threshold uncertainty score0.350

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 communication0.0000.001
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 head0.035
GPT teacher head0.405
Teacher spread0.369 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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