THE IMPACT OF GENDER CENTRED DESIGN IN THE CONSTRUCTION OF A FUEL-LESS GENERATOR FOR ARTISANS IN NIGERIA
Bibliographic record
Abstract
Gender concerns and experiences, as well as those of policymakers and programme implementers, should be considered when formulating policies and programmes in all areas of public life, including politics, business, and society. This ensures that women and men benefit from policies and programmes in the same way, while preventing inequalities from being perpetuated. This should also be integrated in the designing of machines used in homes too. This research seeks to investigate the impact of gender design on the construction of a fuel-less generator for female artisans in Nigeria. Investing in the development of a female-friendly fuel-less generator will be a significant step forward in reducing the sufferings of female business venture owners in Nigeria while causing little or no environmental impact. For this paper only responses related to whether this research will be a step in the right direction in addressing gender bias to previous work, that female artisans will be comfortable operating and using the new device and that Gendered centre design will receive a boost in product design especially in Nigeria are considered. The result showed that gendered centre design will receive a boost as a result of this research.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".