Foreign Practices of Interaction between Government Bodies and Public Organizations: the Experience of the USA
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
Cooperation between government agencies and civil society organizations is a dynamic and multifaceted relationship that plays a crucial role in modern governance, social welfare and political innovation. Through the analysis of various international models, including the experience of the United States, the European Union, Scandinavia, Canada, and Australia, it becomes clear that such partnerships are an integral part of solving complex social problems. These collaborations are built on the premise that no single sector - government, business or civil society - can fully address the increasingly complex challenges facing modern society. By leveraging the unique strengths of each sector, governments and civil society organizations can work together to create more comprehensive solutions. One of the most important benefits of government-CSO collaboration is the increased effectiveness of government programs. CSOs often have deep ties to local communities and are well positioned to understand and respond to needs. Their proximity to society allows them to propose tailored interventions that can complement broader government initiatives. In cases such as the United States, where federal and state governments have partnered with CSOs on health and social service programs, this community expertise has proven essential to creating more relevant and effective public services.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| 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