Bibliographic record
Abstract
Abstract This study examines the reform of agro‐allied parastatals in Nigeria and determine the impact financially, economically and socially. Three enterprises, Flour Mills of Nigeria Limited (FMNL), Okitipupa Oil Palm Company (OOPC) and Nichemtex Industries Limited (NIL), were privatized in Nigeria under a reform programme aimed at improving the performance of agribusinesses in the country. The exercise was successfully conducted through public offer of shares and private placement. The reform led to an improvement in profitability, productivity, financial leverage and liquidity position of the enterprises. The social impact of privatization was also favourable. It has no adverse consequences on job security, level of employment and participation of employees in trade union matters. Successful implementation of the reform was due to several factors including high level of professional competence and dedication of officials connected with the reform, a high degree of transparency and strict compliance with laid down guidelines. At the enterprise level, the positive changes recorded by the enterprises came about through the adoption of a number of coping strategies such as the maintenance of diverse product mix, expansion of export potentials and upgrading of product quality, improved marketing management, technological restructuring and improved techniques of sourcing raw materials. At the macro level, some policy actions such as trade policy reforms and price liberalization also played significant role in enhancing the performance of the enterprises after privatization.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".