Bibliographic record
Abstract
The work took a hard and critical look on the impact of colonialism and its concomitant ally, imperialism on the African state. The analysis revealed that the present primary role of African states in the international world economy as the dominant sources of raw materials and major consumers of manufactured products are the results of long years of colonial dominance, exploitation and imperialism. Consequently, on attainment of independence by most African states from their colonial overlords, it was extremely very difficult to disentangle from the colonial perfected role for the state because of the systematic disarticulation in the indigenous economy and the intrinsic tying of same with the external economy of the colonizers. The work also made a startling stark revelation by discovering through analysis that the deep-seated corruption in most African states and the selfish behaviour of some of the political leaders to sit tight in office even when they have obviously outlived their usefulness in the eyes of their people, are attributable to the effects of colonialism and imperialism. The work concludes and recommends that for African states to overcome their present social, economic, political, health, education woes, etc., there is the urgent need for the people and the leadership to create their own indigenous identity, culture, technology, economy, education, religion, craft, etc. that would be interwoven in good governance. Key words: Colonialism; Good governance; Impact; African states and Europe
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 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".