Bibliographic record
Abstract
This rapid literature review examined the accountability mechanisms used by seven global summits or conferences: the United Nations Conference for Sustainable Development (2012), the World Health Organisation Ministerial Conference on Ending TB (2017), the Nuclear Security Summit (2016), World Conference on Indigenous People (2014), One Planet Summit (2017), the Montréal Protocol (1997), and the United Nations Conference on Trade and Development (2015). In addition, two other global agreements were reviewed: Sustainable Energy for All (2011) and the Tokyo Mutual Accountability Framework. There is no grey literature on this topic and the only articles in the academic, peer reviewed literature relate to examining the effectiveness of the Montréal Protocol. Therefore, the review relied on an assessment of the processes or frameworks for reporting and monitoring which are described in the conference or summit documents. Some of the documents were not up to date. Moreover, it was not clear whether the accountability framework was put in place at the start of the conference or summit or if it was adopted later. The review of the accountability frameworks used in the aforementioned conferences, summits or global agreements ascertained the following findings. First, while an organisational structure is necessary for implementing the resolutions or commitments, financial support is also necessary to incentivise implementation especially for developing countries. Second, measurable targets must be set at global, regional and country level. Targets and reporting can be disaggregated to reveal discrepancies according to age or sex, e.g., such disaggregation is required for monitoring progress towards eliminating tuberculosis. Third, countries report their progress by providing a country report. Reporting progress and monitoring are best facilitated if there are other agreements, conventions or protocols that facilitate such reporting. Monitoring and reporting tends to be more robust when there is a designated organisational body that manages the resolution. Finally, the documentation relating to the Nuclear Security Summit and the One Planet Summit is not explicit with regard to which entity is responsible for monitoring implementation and progress.
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 | 0.176 | 0.233 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.021 | 0.019 |
| Open science | 0.007 | 0.018 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".