Adult Education and Sustainable Learning Outcome of Rural Widows of Central Northern Nigeria
Bibliographic record
Abstract
In northern Nigeria, widows’ identities and status are defined within the mores, norms, traditional religions, and legal institutions of the cultures of the community. The ethnic cultural laws are oppressive and retrogressive. The nexus of these cultural pressures trigger discriminatory practices that deny school attending widows’ access, and completion of primary and secondary levels of education, leaving them literacy bankrupt and unskilled to fend for themselves and their children. These experiences motivated an all women Community Based Organization (CBO) to establish a Widows Training School to educate widows in vocational skills and basic literacy and numeracy. This paper examines research that was conducted with a sample of former graduates and attendees of the Widows Training School (WTS). The study is based on a qualitative educational research orientation, and the case study design. Multi-modal data were derived from Focused Group Interviews (FGIs) and Non Participant Observation (NPO) with a sample population of the widows. Data analysis engaged the qualitative process of transcription, categorization, and generation of codes that were merged into major themes, and presented in the as socio cultural status of the widows in the community; historical foundation, nature and curriculum implementation of the school; and the facets of sustainable learning outcome of the widows.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".