Non-governmental organizations and development in the Sudan: Relations with the state and institutional strengthening.
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
3.2.4NIF Failure: Is it a Failure of the Project or the Regime?3.2.4.1 Islamic Civil Society Movement 3.2.4.2 Regime's Violations and Corruption 3.3 NIF -Civil Society/NGOs Relations 3.3.1 Sudanese Women under the State 3.3.2Restrictions of Voluntary Work 3.3.3The Impact of Peace 3.4 The Positions and Role of Political Parties, Civil Society and NGOs 3.4.1The Impact of the Colonial State 3.4.2The Impact of Social Exclusion 3.4.3The Impact of Democracy 3.4.4The Main Political Parties 3.4.4.1 The Umma Party 3.4.4.2 Democratic Unionist Party (DUP 3.4.4.3 Sudanese Communist Party (SCP 3.5 The Way Out 3.6 Conclusion CHAPTER FOUR travel expenses, when I was working with them as an accompanier for their North Sudan program.Alternatives, my Canadian former employer supported some o f my research expenses during my monitoring and field visits to their projects in Sudan.My family contributed greatly over the years, both financially and mentally.Some of the chapters were reviewed while I was visiting London, on my way to Swansea.Special thanks to Rose Muller and Tariq El-Ghadi, who provided pleasant accommodation and facilities for writing.I want to thank also Kitty Wamock for the early debate on NGOs
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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