When Institutionalisation Threatens Peacebuilding: The Case of Kenya’s Infrastructure for Peace
Bibliographic record
Abstract
What are the effects of institutionalisation on long-term peacebuilding? In theory, institutionalisation enhances national and local capacities to sustain peace in the long term. However, in the case of Kenya, institutionalisation now poses a threat to peacebuilding. Institutionalisation is the process of formalising peacebuilding through state policy and structures that aim to sustain more permanent capacities for peace. Institutionalising peacebuilding through the infrastructure for peace in Kenya has increased national capacities for peace. Yet the process of institutionalisation now threatens local agency, effective peace practice, and resource sustainability. These findings are based on qualitative data gathered through semi-structured interviews, participant observation, and documentary evidence. While infrastructures for peace vary in composition and degree of institutionalisation, the findings from Kenya offer insights on the potential threats of institutionalisation to the sustainability of long-term peacebuilding.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.017 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".