Bibliographic record
Abstract
The purpose of this study was to explore the dynamics of South Sudanese crisis from 2013 to 2021. Descriptive research design that anchored on the judgmental sampling technique was adopted. The secondary sources (books, journal articles, conference papers, internet materials and monographs) were sourced from Nigerian libraries and internet, subjected to content analysis, before qualitatively analyzed for the study. Findings revealed that political exclusion, proliferation of small arms and light weapons, corruption and weak institutions triggered grievances that led to December 2013 South Sudanese crisis. The crisis had impacted negatively on security, humanitarian needs, human rights, as well as economy. United Nations Mission in South Sudan, Inter Governmental Authority on Development, African Union Mission in South Sudan, United States, Canada, Uganda, Sudan, Kenya, Ethiopia and Eritrea had intervened. Though these findings have deepened the understanding of Group theory, the fear of South Sudanese crisis reoccurring immediately after general election in 2024 is looming. The study the recommends, rotational presidency, devolution of power, mental disarmament and development assistance to avert the incoming crisis.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".