Notice bibliographique
Résumé
Professor Ajaga Nji spent more than 25 years travelling to some of the most under-privileged corners of the world to ask the question that has been puzzling him ever since he was a young man in Cameroon: why do poor people remain poor?\nHis travels took him to most parts of his native Africa, as well Why Poor People Remain Poor: Key Elements for Poverty Alleviation and Sustainable Developmentas to Asia, Europe and the United States of America. Wherever he went, he spoke to poor people, and painstakingly recorded his conversations and interviews as he went.\nOver the years, a pattern began to emerge. Whether he was talking to farmers in Machacos, Kenya, or to herders in Sabongari, in the North West Province of Cameroon, a common thread of injustice, poor access to natural resources and lack of opportunities and education ran through the picture. Given that it took the author quarter of a century to investigate this vast subject, it would be absurd to try to synthesise the answers here.\nIn one chapter, he comes up with 26 reasons why poor people remain just that. One clue, however, comes with the account of a poor fisherman he met in Cameroon, distraught because his old canoe leaked badly and because his net only caught a few young fish. This book is written for the fisherman, who might come to understand[ ]that he is poor because the rich, deep-sea fishermen use their wealth, greater resources and larger vessels to catch the big fish, pushing only the fries to the shores into his net, writes the author, many years after that encounter.\nBut this is not a book of despair. The author is Professor of Rural Sociology and Technology Issues at the University of Dschang, Cameroon and has long experience of practical ways of alleviating poverty, many of which he outlines in his book.\nHe concludes with the conviction that while poverty can probably never be eliminated altogether, it can be reduced in good measure through focused, targeted, anti-poverty programs based on a commitment to justice, peace, good governance, democracy and sustainable development. \n\nWhy Poor People Remain Poor: Key Elements for Poverty Alleviation and Sustainable Development\nBy A Nji\nDeScholar Press\n2004. 240 pp.\nISBN 9956 401 05 6\nUS$20 15\nAjaga Nji & Associates\nPO Box 138\nDschang\nCameroon\nFax: + 237 345 19 55\nEmail: ajaga_nji@yahoo.com
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».