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Record W2795045423 · doi:10.18535/jmscr/v6i3.156

Eliminating and Sustaining Factors Influencing Child Begging in North Central Geo-Political Zone of Nigeria

2018· article· en· W2795045423 on OpenAlexaff
Nwafor Obianuju Charity

Bibliographic record

VenueJournal of Medical Science And clinical Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsBeggingMedicinePoliticsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The study examined eliminating and sustaining factors influencing child begging in North central geo-political zone of Nigeria. The researchers adopted survey research design with a population of 7,050 comprising children, mualluns and parents. Three research questions were used as a guide to the study and the sample of 721 comprising 621 mualluns and parents and 100 almajiri drawn from two sampled states through simple random and purposive sampling techniques. The instruments used for data collection were researchers developed questionnaire titled "Eliminating and sustaining factors of Child Begging Questionnaire (ESFCQ), interview and close observation which were face validated by three experts in Childhood Education, Islamic studies and Measurement and Evaluation from Federal College of Education, Kontagora, Niger State. The reliability estimate of ESFCQ was established using Cronbach Alpha's co-efficient method and the index ranged from 0.78 to 0.71. Findings of the study revealed that poverty, migration and almajiri syndrome are the major sustaining factors, while provision of adequate social amenities like schools, daily school feeding for pupils and reorientation can play a vital role as eliminating factors of child begging. The study therefore recommended that Government should improve the living condition of families to take care of their children and also restructure the Islamiyya to include modern subjects in the centers.

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)0.033
metaresearch head score (Gemma)0.054
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.204
GPT teacher head0.600
Teacher spread0.396 · 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 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
Published2018
Admission routes1
Has abstractyes

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