Development And Application Of A Knowledge Translation Tool Focused On Helminth Infections In The Limited Resource Setting Of The Maasai Pastoralist Community In Rural Tanzania
Bibliographic record
Abstract
A knowledge translation tool on East Coast Fever, a workshop targeted to Maasai pastoralists of the Ngorongoro Conservation Area (NCA), was developed, tested and evaluated in 2012 [1]. Despite the success of the workshop, it was clear that methods of knowledge translation in the Maasai community needed further exploration [1]. Helminth infections are prominent illnesses among sheep and goats in the NCA. Therefore, providing the Maasai pastoralists with an educational session about helminth infections in sheep and goats has the potential to decrease the prevalence of these infections in the livestock population and also improve treatment strategies. The first objective was to develop a knowledge translation tool that could be used effectively in the Maasai pastoralist community. The second objective was to provide a lecture, handout and a participatory component that informed the community on helminth infections in sheep and goats. A thirty-minute, pictorial presentation with information on Haemonchus contortus in sheep and goats, FAMACHA scoring [2] and effective doses and administration of the drugs albendazole and ivermectin was developed. In addition to the lecture session with a pictorial handout, a hands-on session was also introduced. Several versions were pilot tested with Maasai representatives who spoke both Maa and English in order to determine which workshop approach would best translate and resonate with the Maasai pastoralist community. The workshop was revised based on the recommendations of the Maasai representatives and other stakeholders. One presentation of the final version of the workshop was carried out with the Maasai NCA community leaders. Upon completion of the presentation and explanation of the handout, the workshop participants were invited to ask questions, view worm larvae under the microscope and practice FAMACHA scoring [2] on a goat that was present. Increased knowledge on recognition and treatment of helminth infections in sheep and goats will be beneficial to the Maasai as improved livestock health results in increased financial stability [3].
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".