Political journalism on China-Africa in a changing world order: Canada, France, Francophone Africa
Bibliographic record
Abstract
Political journalism, as a practice aimed at covering the political scene for the benefit of citizens, is a major tool in shaping the public's opinion of political issues and actors. Taken on a global scale, this practice becomes more crucial as it positions political journalism at the intersection formed by national (own) and foreign political and ideological spots. The author has chosen one of the most polarizing topics on the international scene for the last two decades: China-Africa. This strong polarization will enable us to highlight the main trends of analysis of media discourse on China and Africa in Canada, France and French-speaking West Africa. The research confirms this trend: political perception and dominant ideology in Canada and France build a common reading lense for describing and interpreting China-Africa relations in the media. The limits of interpreting African dynamics from the “outside” Africa, in the ideological and political meaning of the term, are considered. The major bias in press coverage is to mainly focus on China-Africa, whereas African countries are nurturing and initiating important partnerships with other countries such as Russia, of course, but also India, Japan, Turkey, etc. Europe needs Africa, which it will have to support in its economic transformation, whatever the cost, to build the long-promised New Deal, that was only envisaged in the emergency thanks to the multipolar situation created by the rise of Asia, among others. Reporting on it from both a European-American and an Asian-African perspective remains a major challenge for political journalism on both sides, for a better understanding of Africa’s new dynamic in a new world order.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".