Participatory Arts-based Game Design: Mela, a Serious Game to Address SGBV in Ethiopia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>The emerging body of work on participatory game design (PGD) highlights the significance of working with end-users’ voices as the starting point. This is particularly critical in serious games that seek to impact social change in areas such as sexual and gender-based violence (SGBV). This article, which is based on fieldwork with 16 college instructors in four agricultural colleges in rural Ethiopia, draws together concepts of participatory visual methods (particularly cellphilming), PGD and a game universe perspective to offer an engaging and interactive approach to the design of serious games. We refer to this as ‘Participatory Arts-based Game Design’ (PAGD), an approach that was used to create Mela, a serious game to address SGBV in Ethiopian agriculture colleges. Exploring Mela game’s participatory and engaging design process, this article offers a framework for serious game development to address critical social change issues that go beyond the game itself. It has the potential to not only place the end-users at the centre but to recognize the critical role of engagement and immersivity in a field oriented towards impact and sustainability.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it