Examining the motivations of women students with disabilities' participation in university education in Kenya
Bibliographic record
Abstract
This paper discusses factors that influence women with disabilities in Kenya to pursue a university education. The paper draws on findings from a larger research project that studied the experiences of women students with disabilities in Kenyan universities. Findings show that the need to become economically independent, the desire to become a ‘somebody’, and the determination to challenge their subjugated position in society, with a view to rising above the prejudiced notions of ‘lack’, is central to the women's motivation to attend university. The paper shows that while some of the motivations of women with disabilities to go to university are similar to those of non-disabled individuals, women with disabilities have to struggle much harder to accomplish their goal because of societal barriers and prejudices towards people with disabilities. The success of the women in the study highlights the need for the society, families, governments, and friends to be more supportive and more systematic in ensuring that individuals with disabilities get the access and resources they need to attain their educational goals and dreams.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".