Exploring the complexity of partnerships in development policy and practice: Upstairs and downstairs
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
Abstract Motivation The term partnership, and the balance of ownership within it, significantly influence the direction of the development field and whether it will be able to address increasingly complicated global challenges such as climate change, peace and security and growing inequality. Purpose The article explores the nature of government donor–recipient partnerships, the struggle over ownership, and the possibility of transitioning from top‐down aid policy to genuine development co‐operation. Approach and Methods The discussion is based on the lead author’s doctoral research and the authors’ experiences of working with the Coady International Institute and the Roméo Dallaire Child Soldiers Initiative. Findings The research revealed ample evidence that proclamations of more equitable partnerships or recipient ownership of aid policy are undermined by historical power dynamics and coherency to dominant development narratives. However, a closer examination also found some room to create change as policy is negotiated and interpreted in a multitude of smaller policy spaces, including influences from networks of civil society organizations (CSOs). The article looks at two CSOs that use their “downstairs” position to act as interlocutors with Southern partners. In some cases, they fostered more equitable partnerships and support South–South networks by applying an emancipatory learning approach and adapting aid modalities. This points to the potential for slow—and often reluctant—progress towards more equitable global partnerships and innovative practices. Policy Implications The findings suggest that the asymmetrical nature of government donor–recipient partnerships can be addressed through a more nuanced learning approach and increased engagement with CSOs that can experiment with project modalities and support for CSO networks.
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 | 0.003 | 0.002 |
| 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 | 0.001 |
| 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