Pragmatic Intercultural Ethics and the Emerging Democracy: The Case of “The Anglophone Cameroon Crisis”
Bibliographic record
Abstract
The emerging democracy in Cameroon has been experiencing unprecedented challenges in managing sociocultural/sociolinguistic diversity, thus, instigating “The Anglophone Cameroon crisis”. From the trajectory of applied ethics, this article substantially presents those challenges in their ensemble as a lacuna in intercultural governance, thereof demonstrating how the proper exploitation of the expertise of pragmatic intercultural ethics through interactive intercultural communication could help avert this crisis. By this, it is argued that using the wisdom of deliberative reciprocity, otherwise known as practical wisdom, pragmatic intercultural ethics could exploit the services of communicative ethics to contextually manage various disagreements between Anglophone Cameroon and the Government. Underscoring this insight as an indispensable but neglected pillar of emerging intercultural governance in post-colonial Africa, the author elucidates the likelihood that besides negligence and/or ignorance, the intercultural crisis in Cameroon could have been galvanized by “the happiness of the greatest number” theory. Wishing that the awareness of this pragmatic intercultural dexterity revitalizes the spirit of intercultural communication in Cameroon, the author draws the attention of their stakeholders to the wise recommendation of Plato that rulers should become philosophers – that they should seek justice more with the virtue of wisdom than with force/power.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.027 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| 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".