L’émergence de l’option diaspora au Cameroun : recours à un concept magique dans un contexte de crise
Bibliographic record
Abstract
Cet article qui examine l’émergence de l’option diaspora au Cameroun contribue à un nombre croissant d’analyses critiques sur les migrations et le développement, et en particulier sur les diasporas et leur potentiel pour le développement. En mobilisant notamment la notion de « concept magique » à titre principal, ce travail montre comment la littérature en administration publique permet d’enrichir et de compléter la critique de l’option diaspora. Cette analyse, qui s’appuie sur une enquête auprès d’une quinzaine de fonctionnaires, d’experts et de professionnels, postule que dans un contexte où les défis et contraintes à surmonter pour une valorisation effective des potentiels de la diaspora sont nombreux et non complètement pris en charge par les autorités publiques, l’option diaspora peut être perçue comme un concept magique ou un totem promu par l’État et les organisations internationales.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".