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Record W1985883519 · doi:10.1080/15595690902991097

Adolescent Street Boy Urchins and Vocational Training in Northern Nigeria

2009· article· en· W1985883519 on OpenAlexaff
Lantana M. Usman

Bibliographic record

VenueDiaspora Indigenous and Minority Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsVocational educationTraining (meteorology)GeographyPsychologyPedagogyMeteorology

Abstract

fetched live from OpenAlex

In northern Nigeria, over 80% of the unskilled and uneducated adolescent street boys, or Almajiris, are from the ethnic Hausa-Fulani tribes. They depend on street begging and menial jobs for daily survival. In dealing with the situation, state vocational centers were established as the Millennium Hope Project (MHP) to provide the boys with trades and skills for self-reliance and socioeconomic transformations. This article presents findings from an educational policy evaluation research study of the MHP implementation and outcomes. The research was based on an ethnographic approach using multimodal data derived from interviews and observations and data analysis-involved transcription, categorization, and coding. Major themes include the cultural identities and statuses of the boys, curriculum implementation and management of the project, socioeconomic transformation of learning outcome, and the challenges and positive impacts of the MHP on the boys. The themes are discussed using the boys' “voices” and pertinent literature. The conclusion includes educational policy remedies for future reforms and modification of the project.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.987

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 studies0.0010.000
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 head0.014
GPT teacher head0.274
Teacher spread0.259 · 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
Published2009
Admission routes1
Has abstractyes

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