Privatisation, stakeholder power, and weak institutions: the case of the Democratic Republic of Congo
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
Privatisation is often suggested as means to improve efficiency of state-owned companies and to increase involvement of developing countries in globalisation. This paper examines the economic and social impact of the privatisation of large resource companies in the context of weak institutional environments. The key stakeholders involved in the process of privatisation are identified: national and international governments; private corporations; civil society; and local communities. The complexities of interplay and power relationships among them are described. The main outcome is improved production and increased government revenues. But the marginalisation of the local community during the process and the negative impact on the well-being of its members calls for changes in the process. Privatisation in response to globalisation did not improve stakeholder circumstances. Overall, this development model does not seem sustainable. Suggestions are made for its improvement for a long-term and shared prosperity.
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 | 0.000 |
| 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 | 0.000 |
| 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