Anti-FGM discourses as constructed by NGOS in the Maasai community in Kenya
Bibliographic record
Abstract
This Major Research Paper conducted a critical discourse analysis of a documentary produced by NTV Kenya and AMREF Africa about eradicating Female Circumcision in the Maasai community in Kenya. This research sought to understand how the documentary constructed anti female genital mutilation (FGM) discourse. The main discourses were colonialism, saving the Maasai girl, and double patriarchy as is constructed by International NGOs. These discourses became evident through the language used, images displayed on the screen, gendered power relations and who is benefiting from these. Using the Maasai Female Experience (MFE) as a theoretical lens, I placed emphasis on how Maasai women are treated in the anti-FGM campaigns which is driven by international NGOs. African centered worldviews were also employed in this study by the use of MFE and Afrocentric theory of social change. Community development workers and social workers need to consider these discourses while working with Maasai women. They must be conscious about reproducing oppressive practices and stereotypes that has historically been used to marginalize Maasai women.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.022 | 0.021 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".