Hunting, Wildlife, and Imperialism in Southern Africa
Notice bibliographique
Résumé
Imperial networks in northern North America flowed initially along the waterways that gave access to the trade-associated hunting, trapping, timber extraction, and related activities. Hunting was essential to many indigenous societies, and required relatively little investment for the first wave of traders and settlers. It generated valuable resources in a number of colonized zones. But hunting frontiers in the British Empire differed. In part, the reasons were environmental. The assemblage of species in North America and Africa were possibly more similar 15,000 years ago ‘when the American West looked much as [the] Serengeti plains do today’. Large mammals including mammoths, big cats, and wild horses roamed the northern hemisphere prairies. Climate change, combined with the impact of rapid human migration through the Americas 10–12,000 years ago, resulted in many extinctions so that the wildlife of the two areas had become distinctive by the onset of European colonization. This opened up divergent opportunities for consumption and trade. Southern Africa was a frontier of heat rather than cold. There were no animals with the thick glossy fur favoured by Europeans for outer garments or for felt. Southern Africa’s most prized hunted commodity—aside from meat—was equally unpredictable. While mammoths had been exterminated in North America, an elephant species with large tusks survived into the modern era in Africa. Environmental factors also shaped the technology of hunting and carriage. Southern Africa lacked navigable rivers and lakes; Canada’s abundance of water was matched by South Africa’s dearth. Although the spread of firearms and horses was common to both regions, South Africa’s transport sinews were dusty, rutted ox-wagon tracks across the veld rather than the cool, wooded lakes and streams along which canoes could be paddled. In part, differences resulted from the chance value of particular animal products. Southern Africa was home to an extraordinary range of large mammals. The richness of wildlife can be judged by the variety of predators at the top of the food chain—lions, leopards, cheetahs, caracals, hyenas, wild dogs, jackals, as well as smaller cats. The antelope population was unparalleled in the diversity of its species. But variety did not in itself translate into value.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».