Violent Conflicts as an impediment to the Achievement of Millennium Development Goals in Africa.
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
Abstract This paper aims to stimulate a debate on how Violent Conflict (VC) is obstructing the success of Millennium Development Goals (MDGs). It briefly examines progress with the MDGs in Africa using officially published United Nation (UN) Reports and global MDG monitoring information. It also provides readers with a preliminary exposition on how violent conflicts pose the greatest challenges to progress with achieving the MDGs. It argues that violent conflict makes chronic poverty even worse – from household to national levels. The paper warns that many countries in Africa will fall far behind in attaining the MDGs by the targeted date of 2015 unless African states and regional institutions such as the African Union can put a decisive end to the current conflicts and address the threat of new conflicts. Having presented comparative evidence from various countries (those on track to meet the MDGs and those lagging behind), the significance of conflict prevention, conflict resolution and peace building in increasing the likelihood of Africa’s achieving the MDGs within the timeframe were highlighted. Highlighting the critical importance of strengthening the link between durable peace and sustainable development, it was concluded that the MDGs, as a framework for policy, programs and international partnerships to reduce poverty, must explicitly articulate how to end violent conflict and support war-torn countries (and those emerging from conflict) as a matter of priority and that they must receive special consideration. Key words: Millennium Development Goals, Violent Conflict, Poverty, Regional Institutions, Conflict Resolution, Peace Building, Sustainable Development, International Partnerships.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it