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Record W2023985655 · doi:10.1108/03068291011062506

Street hawking and socio‐economic dynamics of nomadic girls of northern Nigeria

2010· article· en· W2023985655 on OpenAlexaff
Lantana M. Usman

Bibliographic record

VenueInternational Journal of Social Economics · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsSnowball samplingHawkingData collectionLocal languageCommissionQualitative researchCLARITYFocus groupSociologyPhenomenology (philosophy)Participant observationPsychologySocial sciencePolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to provide a qualitative explanation, understanding, and policy suggestions on the socio‐economic causes, effects, and challenges facing nomadic rural girls' street hawking in cities of Northern Nigeria. The aim is to present the paper as a source of literature that will serve as a future document in formulating inclusive policies for the girls as explained in the section on educational policy options. Design/methodology/approach Research orientation and design involved qualitative phenomenology that explored girls' street hawking experiences. Study sites included three major Nigerian cities and three villages of the girls. Purposeful sampling was used to select 20 girls between ages eight and 15 and female parents as primary participants, while two traditional and religious leaders from each of the villages, and one administrator of the local state nomadic education commission served as secondary participants. Snowball samples of three male parents of the girls in each village were used as part of data validity. Data collection technique involved unstructured focus group interviews, participant observations, and video recording of the girls at home, at markets, and at streets in the cities. Ethical issues were addressed by obtaining oral and written consent of participants orally and in writing using the native language for clarity and understanding of their role. Data analysis of interview involved transcription and the repeated reading of the transcripts that identified major themes. Observational data were converted to field notes and analyzed for patterns of ideas that support major themes of the analyzed interview data for validity. Triangulation process of checking validity was used with sample of snowball participants as state educational administrators of nomadic education, religious leaders, amongst others. Findings Major findings are presented as themes on major economic causes of the girls' street hawking of dairy products as a part of family gender division of labor, poverty level of most families, preparing girls for self‐reliance and economic independence, and to augment family income. Social causes include Islamic religious pressure of teaching youth self‐reliance in preparation for early marriage, to finance wedding expenses, to acquire material possessions as child brides, for family honor, to accrue income to maintain their bodily aesthetic needs, group street hawking as a means to girls socialization, and exposing girls to suitors as future husbands, amongst others. Challenges facing the girls include lack of safety, exposure to forms of abuse, and being left behind in basic literacy, amongst others. Originality/value This paper is of significant value due to its novelty. It will serve as primary literature on minority West African pastoral girls' impact on rural‐urban migration, their challenges, and their position in the current world social policy of the Department for International Development and UNICEF Girls Education 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.268
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), 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

Citations29
Published2010
Admission routes1
Has abstractyes

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