CSCL for NGO's cross cultural virtual teams in Africa: an Ethiopian children advocacy case study against exclusion and toward facilitation of expression, innovation and creativity
Bibliographic record
Abstract
This exploratory pilot study shows that NGO's involved in Children Advocacy through Arts in Africa are willing to use a groupware, meaning a computer supported collaborative learning (CSCL) environment. Innovative ideas and best practices among NGOs would be shared easily worldwide. Little scientific information is available to help them make a sound choice. This study suggests that some NGOs based in Ethiopia/Africa have specific needs which should translate in specific context analysis and interface development: 1) an intercultural approach to creativity, arts and innovation, and 2) emphasis should be placed on tools to facilitate asynchronous systematic conception and sharing of intra and cross-organizations information (log book, systematic case studies forms, best practices, music/sound, picture, short movies, literature,) to facilitate continuity, synergy, creativity and innovation. Under contribution being also a problem for most online communities, human and social sciences could provide mid level design principles to improve motivation.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| 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".