Canadian-Zambian Human Rights Engagements: A Critical Assessment of the Literature and Research Agenda
Bibliographic record
Abstract
Canada’s engagements with African states with regards to human rights began about five decades ago, and different countries in Africa have since benefited from such engagements. With Zambia specifically, such engagements have mainly centered along human rights issues. Recently, Canada has heavily invested in Zambia’s mining sector. This article explores Canada’s human rights engagements with Zambia. The article first reviews the economic performance of Zambia since its independence and the effect that this has had on the country. The article then looks at Canadian engagements with Zambia in terms of health, women’s rights, refugees’ rights and mining. It acknowledges that while Canada is actively involved in the advancement of human rights in Zambia, its engagements have not been as visible as those engagements undertaken by its sister Global North states/entities, such as the United Kingdom, Sweden, Norway, and the European Union. Nevertheless, the article acknowledges that the existence of this apparent gap may be due to the fact that there is not much visible literature detailing Canada’s aid relationship with Zambia. The article will thus assess the gaps in the literature in this regard and chart a future research agenda/path.
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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 | 0.028 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.016 | 0.030 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".