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
The sophistication of peace operations and complex humanitarian missions has increased in recent decades, resulting in increased international capacity to mitigate organized violence and provide relief to suffering populations. With respect to other indicators of success, however, international peace strategies still leave much to be desired. By their very nature, externally driven efforts tend to leave local actors feeling marginalized and disempowered, and unable to fulfill aspirations for cumulative and sustainable transformations in the quality of life. The peace that local populations genuinely hope for may fail to take root, and dynamics associated with interventionism may replace one set of problems with another. To address such problems within existing peace processes and to provide a framework for broader preventive action, this paper identifies “localizing peace” as a central challenge for twenty-first century peacebuilding efforts. International and cross-cultural cooperation remain vital for tackling border-spanning problems and structural inequalities, yet the advancement of global peace depends in no small part on the enhancement of local peace capacities. Ultimately, peace must be defined and constructed locally, and peacebuilding efforts become energetic and sustainable only to the extent that they tap local resources, empower local constituencies, and achieve legitimacy within particular cultural and religious contexts. By appreciating these realities, international actors can discover more effective means of partnering with local organizations and movements, while also deriving new insights into the unity and diversity of peacemaking.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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