Mainstreaming Resolution 1325? Evaluating the Impact on Security Council Resolution 1325 on Country-Specific UN Resolutions
Bibliographic record
Abstract
In October 2000, the United Nations Security Council adopted Resolution 1325 on Women, Peace and Security recognizing for the first time that women disproportionately face the consequences of conflict and should therefore be included in decision-making at all levels during peace processes and post-conflict governance. However in the eight years since its adoption, many questions remain regarding the Security Council’s commitment to this agenda. This paper examines the language of Security Council resolutions between 1998 and 2008 to evaluate how Resolution 1325 has influenced the language of conflict-specific Security Council resolutions. I conclude that while Resolution 1325 has actually led to a significant increase in the numbers of references to women in resolution language, references are much more likely to call for the protection of women and are significantly less likely to call for their active participation in decision-making processes.
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 | 0.118 | 0.323 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".